CN108614294A

CN108614294A - A kind of trap Screening Treatment method and device

Info

Publication number: CN108614294A
Application number: CN201810342004.6A
Authority: CN
Inventors: 史忠生; 薛罗; 陈彬滔; 马轮; 何巍巍; 赵伟; 白洁
Original assignee: China Petroleum and Natural Gas Co Ltd
Current assignee: China Petroleum and Natural Gas Co Ltd
Priority date: 2018-04-17
Filing date: 2018-04-17
Publication date: 2018-10-02

Abstract

The application provides a kind of trap Screening Treatment method and device.The method includes：According to seismic data, the trap to be evaluated in area to be analyzed is obtained；Using the reservoir forming factor validity factor evaluation standard of foundation, the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element of the trap to be evaluated is determined；According to the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element, the probing success rate of the trap to be evaluated is determined；Using the TRAP RESERVE for the trap to be evaluated that the probing success rate and Monte Carlo volumetric method obtain, in conjunction with the total input of probing, oil price, expected revenus value of the trap to be evaluated under default recovery ratio is determined；According to the expected revenus value, the probing success rate, trap the selection result is determined.Using each embodiment in the application, the accuracy of trap the selection result is improved, hydrocarbon exploration efficiency and economic benefit are further improved.

Description

A kind of trap Screening Treatment method and device

Technical field

The application belongs to technical field of geological exploration more particularly to a kind of trap Screening Treatment method and device.

Background technology

Trap is the place of oil-gas accumulation and preservation, once assemble in trap and preserves the hydrocarbon fluid with industrial value Afterwards, just become oil-gas reservoir.Therefore, trap is the condition having as oil-gas reservoir, and can the screening of trap is directly related to accurate Predict target trap probing success rate, for not jumping through hoops and closing, can before brill Accurate Prediction trap probing success rate It is particularly significant for oil-gas exploration benefit for improving with its expected economic value.

In the prior art, the method for trap screening is mainly the foundation basic Reservoir-forming Geological Conditions of trap, Its geologic risk of qualitative evaluation, this method can not carry out the quantitative assessment of geologic risk, can not accurately filter out probing wind in turn Small, high efficiency the target trap in danger, cannot meet the growing benefit demand of oil-gas exploration.Therefore, there is an urgent need for a kind of energy in the industry The embodiment for enough improving trap screening accuracy.

Invention content

The application is designed to provide a kind of trap Screening Treatment method and device, improves the accurate of trap the selection result Property, further improve hydrocarbon exploration efficiency and economic benefit.

On the one hand this application provides a kind of trap Screening Treatment methods, including：

According to seismic data, the trap to be evaluated in area to be analyzed is obtained；

Using the reservoir forming factor validity factor evaluation standard of foundation, the Hydrocarbon Formation Reservoirs element of the trap to be evaluated is determined Corresponding effective property coefficient；

According to the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element, the probing success rate of the trap to be evaluated is determined；

Using the probing success rate, probing total input, oil price, the TRAP RESERVE of the trap to be evaluated, institute is determined State expected revenus value of the trap to be evaluated under default recovery ratio；

According to the expected revenus value, the probing success rate, trap the selection result is determined.

Further, described to be commented using the effective property coefficient of reservoir forming factor established in another embodiment of the method Price card is accurate, determines the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element of the trap to be evaluated, including：

The reservoir forming factor validity factor evaluation standard is built, the reservoir forming factor validity factor evaluation standard includes The grade of the grade and Effective Probability of the corresponding existing probability of the Hydrocarbon Formation Reservoirs element；

Obtain the corresponding existing probability grade of Hydrocarbon Formation Reservoirs element, the Effective Probability grade of the trap to be evaluated；

According to the grade of the existing probability, the grade of Effective Probability, the reservoir forming factor validity factor evaluation is utilized Standard determines the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element.

Further, described to utilize the reservoir forming factor validity factor evaluation in another embodiment of the method Standard determines the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element, including：

According to the corresponding existing probability grade of the Hydrocarbon Formation Reservoirs element of the trap to be evaluated, Effective Probability grade, utilize The reservoir forming factor validity factor evaluation standard obtains the corresponding existing probability value of the Hydrocarbon Formation Reservoirs element and Effective Probability Value；

According to the existing probability value and Effective Probability value, the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element is determined.

Further, described corresponding effectively according to the Hydrocarbon Formation Reservoirs element in another embodiment of the method Property coefficient determines the probing success rate of the trap to be evaluated, including：

Using the product of the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element as the probing of the trap to be evaluated success Rate.

Further, in another embodiment of the method, it is described according to the expected revenus value, described drill successfully Rate determines trap the selection result, including：

The geology risk factor of the trap to be evaluated is determined according to the probing success rate；

The expected revenus value is more than default financial value, and the geology risk factor is less than waiting for for default risk factor Trap is evaluated as target trap, probing deployment is carried out to the target trap.

Cross coordinate system is built, using the default financial value, the default risk factor as the cross coordinate system Coordinate origin using the geology risk factor, the expected revenus value as the abscissa of the cross coordinate system, is indulged and is sat Mark, or using the expected revenus value, the geology risk factor as the abscissa of the cross coordinate system, ordinate；

According to the corresponding expected revenus value of the trap to be evaluated, geology risk factor, the trap to be evaluated is marked In the different quadrants of the cross coordinate system；

According to the quadrant where the trap to be evaluated, classifies to the trap to be evaluated, determine the aiming circle It closes.

Further, in another embodiment of the method, the acquisition methods of the TRAP RESERVE include：

The TRAP RESERVE is determined using Monte Carlo probability volumetric method.

Further, in another embodiment of the method, the determination trap to be evaluated is in default recovery ratio Under expected revenus value, including：

The expected revenus value is determined using M=Q × r × S × P-Q × r × R × P-T；

In above formula, M indicates that the expected revenus value, r indicate that the default recovery ratio, S indicate the probing success rate, P Indicate that the oil price, Q indicate that the TRAP RESERVE, R indicate geology risk factor, R=1-S.

On the other hand, this application provides a kind of trap Screening Treatment devices, including：

Trap identification module, for according to seismic data, obtaining the trap to be evaluated in area to be analyzed；

Validity determining module, for using the reservoir forming factor validity factor evaluation standard established, determining described to be evaluated The corresponding effective property coefficient of Hydrocarbon Formation Reservoirs element of valence trap；

Success rate determining module is drilled, described according to the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element, determining The probing success rate of trap to be evaluated；

Expected revenus value determining module, for utilizing the total input, oil price, described to be evaluated of the probing success rate, probing The TRAP RESERVE of trap determines expected revenus value of the trap to be evaluated under default recovery ratio；

Trap screening module, for according to the expected revenus value, the probing success rate, determining trap the selection result.

Further, in another embodiment of described device, the validity determining module includes：

Evaluation criterion construction unit, for building the reservoir forming factor validity factor evaluation standard, the reservoir forming factor Validity factor evaluation standard includes the grade of the grade and Effective Probability of the corresponding existing probability of the Hydrocarbon Formation Reservoirs element；

Reservoir forming factor grade acquiring unit, the Hydrocarbon Formation Reservoirs element for obtaining the trap to be evaluated are corresponding in the presence of general Rate grade, Effective Probability grade；

Reservoir forming factor coefficient of efficiency determination unit, for according to the existing probability grade and Effective Probability grade, utilizing The reservoir forming factor validity factor evaluation standard determines the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element.

Further, in another embodiment of described device, the reservoir forming factor coefficient of efficiency acquiring unit is specifically used In：

Further, in another embodiment of described device, the probing success rate determining module is specifically used for：

Further, in another embodiment of described device, the trap screening module includes：

Risk factor determination unit, the geologic risk system for determining the trap to be evaluated according to the probing success rate Number；

Target trap determination unit, for the expected revenus value to be more than default financial value, and the geologic risk system Number is less than the trap to be evaluated of default risk factor as target trap, and probing deployment is carried out to the target trap.

Further, in another embodiment of described device, the trap screening module further includes：

Coordinate system construction unit makees the default financial value, the default risk factor for building cross coordinate system For the coordinate origin of the cross coordinate system, using the geology risk factor, the expected revenus value as the cross Abscissa, the ordinate of coordinate system, or using the expected revenus value, the geology risk factor as the cross coordinate Abscissa, the ordinate of system；

Trap marks unit, for according to the corresponding expected revenus value of the trap to be evaluated, geology risk factor, by institute Trap to be evaluated is stated to be labeled in the different quadrants of the cross coordinate system；

Trap taxon, for according to the quadrant where the trap to be evaluated, dividing the trap to be evaluated Class.

Further, in another embodiment of described device, the expected revenus value determining module includes：

Stock number acquiring unit, for determining the TRAP RESERVE using Monte Carlo probability volumetric method.

Further, in another embodiment of described device, the expected revenus value determining module is specifically used for：

Another aspect, present invention also provides a kind of trap Screening Treatment devices, including：Including processor and for storing The memory of processor-executable instruction is realized when described instruction is executed by the processor and is included the following steps：

In another aspect, present invention also provides a kind of trap Screening Treatment systems, including：Processor and at storage The memory of device executable instruction is managed, the processor realizes above-mentioned trap Screening Treatment method when executing described instruction.

Trap Screening Treatment method and device provided by the present application, according to Hydrocarbon Formation Reservoirs element, quantitative calculating is to be evaluated The probing success rate of trap calculates each to be evaluated according to probing success rate in conjunction with TRAP RESERVE, oil price, the total input of probing etc. The expected revenus value of valence trap.It can be accurately to trap to be evaluated according to the expected revenus value obtained and probing success rate is calculated Exploration risk, economic benefit evaluated, further filter out exploration risk small (drill success rate high), expected revenus value High trap to be evaluated implements drilling plans according to the trap filtered out, improves the accuracy of trap the selection result to be evaluated, The relatively Accurate Prediction for realizing the economic benefit of trap to be evaluated improves the efficiency and economic benefit of oil-gas exploration.

Description of the drawings

In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments described in application, for those of ordinary skill in the art, in the premise of not making the creative labor property Under, other drawings may also be obtained based on these drawings.

Fig. 1 is the method flow schematic diagram of trap Screening Treatment method one embodiment provided by the present application；

Fig. 2 is the probability curve schematic diagram of TRAP RESERVE in the application one embodiment；

Fig. 3 is the schematic diagram for the cross coordinate diagram that trap is screened in the application one embodiment；

Fig. 4 is the flow diagram that trap is screened in the application another embodiment；

Fig. 5 is the modular structure schematic diagram of trap Screening Treatment device provided by the embodiments of the present application；

Fig. 6 is the structural schematic diagram of validity determining module in the application one embodiment；

Fig. 7 is the structural schematic diagram of trap screening module in the application one embodiment；

Fig. 8 is the structural schematic diagram of trap screening module in the application another embodiment；

Fig. 9 is a kind of modular structure schematic diagram of trap Screening Treatment system embodiment provided by the present application.

Specific implementation mode

In order to make those skilled in the art better understand the technical solutions in the application, below in conjunction with the application reality The attached drawing in example is applied, technical solutions in the embodiments of the present application is clearly and completely described, it is clear that described implementation Example is merely a part but not all of the embodiments of the present application.Based on the embodiment in the application, this field is common The every other embodiment that technical staff is obtained without creative efforts should all belong to the application protection Range.

In the exploration process of oil gas, by the screening of trap, select that drilling risk is small, trap of high financial profit carries out Preferential probing deployment, accurate theoretical foundation can be provided for oil-gas exploration, facilitates the design of exploration scheme, improves oil-gas exploration Economic benefit.

In the embodiment of the present application, by identifying trap to be evaluated all in area to be analyzed, to the oil of trap to be evaluated Gas reservoir forming factor carries out quantitative analysis, determines effective property coefficient of the corresponding reservoir forming factor of each trap to be evaluated, further fixed The probing success rate and expected revenus value for determining each trap to be evaluated of amount.The probing success rate of comprehensive trap to be evaluated and Expected revenus value accurately filters out target trap, and preferential probing deployment can be carried out to target trap, improves oil-gas exploration Efficiency and economic benefit.

Specifically, Fig. 1 is the method flow schematic diagram of trap Screening Treatment method one embodiment provided by the present application, this Apply for that the trap Screening Treatment method provided includes：

S1, according to seismic data, obtain the trap to be evaluated in area to be analyzed.

It can be according to the seismic data cube in area to be analyzed, by treating the geology such as analysis regional geologic horizon, tomography The explanation of element obtains the structural map in area to be analyzed.By carrying out trap identification to structural map, obtain in area to be analyzed All traps to be evaluated.The method of specific identification trap, can be selected, the embodiment of the present application is not made to have according to actual needs Body limits.

S2, the reservoir forming factor validity factor evaluation standard using foundation, determine the Hydrocarbon Formation Reservoirs of the trap to be evaluated The corresponding effective property coefficient of element.

Reservoir forming factor validity factor evaluation standard, reservoir forming factor can be established according to the data obtained in exploration practices Validity factor evaluation standard may include the correspondence between Hydrocarbon Formation Reservoirs element and effective property coefficient.Effective property coefficient can To reflect Hydrocarbon Formation Reservoirs element correspondence, there may be the sizes of the possibility of oil gas.Can according to the summary of experience actually explored or Person tests, and builds reservoir forming factor validity factor evaluation standard, and the embodiment of the present application is not especially limited.Had according to reservoir forming factor Effect property coefficient evaluation criterion obtains the corresponding effective property coefficient of different Hydrocarbon Formation Reservoirs elements of each trap to be evaluated.Hydrocarbon Formation Reservoirs Element may include：Hydrocarbon source rock (being referred to as oil-source condition), reservoir conditions, cap rock condition, trap condition, migration condition, Preservation condition can obtain each corresponding validity of Hydrocarbon Formation Reservoirs element according to reservoir forming factor validity factor evaluation standard Coefficient.

S3, according to the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element, determine the probing success of the trap to be evaluated Rate.

It, can be according to circle to be evaluated after the effective property coefficient for obtaining the corresponding each Hydrocarbon Formation Reservoirs element of each trap to be evaluated The effective property coefficient for closing corresponding Hydrocarbon Formation Reservoirs element determines the probing success rate of each trap to be evaluated.Drilling success rate can To indicate to obtain the probability of oil gas after drilling well.

In the application one embodiment, can using the product of the corresponding effective property coefficient of each Hydrocarbon Formation Reservoirs element as pair The probing success rate for the trap to be evaluated answered.Such as：The corresponding Hydrocarbon Formation Reservoirs element oil-source conditions of trap A, reservoir conditions, cap rock Condition, trap condition, migration condition, preservation condition effective property coefficient be respectively a₁、a₂、a₃、a₄、a₅、a₆, then the brill of trap A A can be determined as by visiting success rate₁×a₂×a₃×a₄×a₅×a₆.Certainly, according to actual needs, its other party can also be used Method determines the probing success rate of trap.Such as：The corresponding effective property coefficient of each Hydrocarbon Formation Reservoirs element can be multiplied by difference Weighted value, then the product of the corresponding effective property coefficient of Hydrocarbon Formation Reservoirs element after weighted value will be multiplied by as trap to be evaluated Drill success rate.

S4, the probing success rate, probing total input, oil price, the TRAP RESERVE of the trap to be evaluated, determination are utilized Expected revenus value of the trap to be evaluated under default recovery ratio.

Recovery ratio is to weigh an important indicator of Exploitation Level of Oilfield height, can be referred in certain economic limit, Under the conditions of modern technology, the oil amount that can be produced from oil reservoir accounts for the ratio number of oil in place.Can be as needed, if The recovery ratio for setting trap to be evaluated calculates each according to oil price, probing total input, TRAP RESERVE, the probing success rate of acquisition etc. The expected revenus value of a trap to be evaluated.Oil price and the total input of probing can be configured according to actual conditions, and the application is real Example is applied to be not especially limited.TRAP RESERVE can indicate the petroleum resources amount stored in trap, can be provided according to geological prospecting Material determines the TRAP RESERVE of each trap to be evaluated by the methods of volumetric method, analogy method, probabilistic method.

In the application one embodiment, the acquisition methods of the TRAP RESERVE may include：

The TRAP RESERVE is determined using Monte Carlo probability volumetric method.

Monte Carlo probability volumetric method can be indicated by the probability simulation of function of random variable, statistical test or random Sampling solves the probabilistic method of the problems such as mathematical physics and engineering technology numerical approximation solution.In the application one embodiment, Monte Carlo probability volumetric method can be utilized to calculate the TRAP RESERVE probability curve of trap to be evaluated, Fig. 2 is this Shen Please in one embodiment TRAP RESERVE probability curve schematic diagram, trap can be predicted according to TRAP RESERVE probability curve Stock number.Such as：The stock number of the intermediate point in TRAP RESERVE probability curve can be taken to be provided as the trap of trap to be evaluated Source is measured, and can also choose the average value of the corresponding stock number of different probability as TRAP RESERVE.

In the application one embodiment, 3 probability values can be chosen, such as 10%, 50%, 90%, these three probability values point Cloth can indicate different probability distribution in different sections.Can be 10%, 50%, 90% corresponding resource by probability TRAP RESERVE of the average value as trap to be evaluated.

It can be according to exploration practices data, by analyzing oil price, the total input of probing, TRAP RESERVE, probing success rate, adopting Relationship between yield and ultimate yield summarizes the calculation that statistics obtains the expected revenus value of trap to be evaluated, the application Embodiment does not limit specifically.Such as：It can be waited for according to probing success rate, default recovery ratio, TRAP RESERVE, oil price calculating The expected gross income for evaluating trap drilling prospect subtracts the total input of probing, can obtain the expected revenus value of trap to be evaluated.

S5, according to the expected revenus value, the probing success rate, determine trap the selection result.

According to the expected revenus value of each trap to be evaluated of acquisition, probing success rate, trap to be evaluated can be carried out Category filter carries out probing deployment to different classes of trap to be evaluated.Such as：It can expected revenus value is high, probing success rate High trap to be evaluated carries out prioritized deployment as target trap, to target trap and drills.

It is described according to the expected revenus value, the probing success rate in the application one embodiment, determine that trap is screened As a result, may include：

Specifically, the geology of trap to be evaluated can be determined according to the probing success rate for calculating the trap to be evaluated obtained Risk factor, such as：Geology risk factor=1- drills success rate, and drilling success rate and geology risk factor can indicate to wait for Evaluate the size of the drilling risk of trap.It can preset default financial value according to practical exploration practices data and preset Risk factor, expected revenus value is more than default financial value and geology risk factor is less than the trap to be evaluated of default risk factor, It can indicate that drilling risk is small and economic benefits comparison is high, it can be using such trap to be evaluated as target trap.To aiming circle It closes to drill into row major and dispose, i.e., preferentially carry out the design of drilling plans to target trap.

The setting of default financial value and default risk factor can be according to the practical data or expertise actually explored Etc. being configured, the embodiment of the present application is not especially limited.

Trap Screening Treatment method provided by the embodiments of the present application, according to Hydrocarbon Formation Reservoirs element, quantitative calculating is to be evaluated The probing success rate of trap calculates each to be evaluated according to probing success rate in conjunction with TRAP RESERVE, oil price, the total input of probing etc. The expected revenus value of valence trap.It can be accurately to trap to be evaluated according to the expected revenus value obtained and probing success rate is calculated Exploration risk, economic benefit evaluated, further filter out exploration risk small (drill success rate high), expected revenus value High trap to be evaluated.Implement drilling plans according to the trap filtered out, improve the accuracy of trap the selection result to be evaluated, The relatively Accurate Prediction for realizing the economic benefit of trap to be evaluated improves the exploration efficiency and economic benefit of oil gas.

On the basis of the above embodiments, described to utilize the reservoir forming factor validity established in the application one embodiment Factor evaluation standard determines the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element of the trap to be evaluated, may include：

According to the existing probability grade, Effective Probability grade, using the reservoir forming factor validity factor evaluation standard,

Determine the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element.

Specifically, the data that can be obtained according to exploration practices, by the methods of mathematical analysis, statistics, in advance by oil gas The efficiency evaluation of reservoir forming factor is divided into existing probability and Effective Probability, there will be probability and Effective Probability be divided into it is different etc. Grade, and wanted accordingly at effect property coefficient is kept to construct into Tibetan under the conditions of determining different brackets existing probability and Effective Probability It is known as effect property coefficient evaluation criterion.According to geology survey data, it may be determined that go out the corresponding Hydrocarbon Formation Reservoirs of each trap to be evaluated Existing probability grade, the Effective Probability grade of element.Oil gas can be determined in conjunction with reservoir forming factor validity factor evaluation standard Effective property coefficient of reservoir forming factor.

In actual use, the validity of Hydrocarbon Formation Reservoirs element can be divided into existing probability and Effective Probability, it will be different The existing probability of grade, Effective Probability are fabricated to table.Such as：It can be using different grades of existing probability as row, difference etc. The Effective Probability of grade inserts corresponding cell as row, value, the value of Effective Probability of corresponding different grades of existing probability In, construct reservoir forming factor validity factor evaluation standard scale.When the existing probability grade and Effective Probability of Hydrocarbon Formation Reservoirs element After grade determines, corresponding cell can be found out in reservoir forming factor validity factor evaluation standard scale, determine the oil gas Effective property coefficient of reservoir forming factor.Such as：Table 1 is reservoir forming factor validity factor evaluation standard in the application one embodiment Table, there will be probability to be divided into ten grades in table 1, and Effective Probability is divided into ten grades, and CERTAIN can indicate most high Grade, CERTAIN*VERYLIKELY, VERYLIKELY, VERYLIKELY*PROBABLE, PROBABLE, PROBABLE* successively POSSIBLE, POSSIBLE, POSSIBLE*UNLIKELY, UNLIKELY, IMPOSSIBLE indicate that grade continuously decreases, IMPOSSIBLE indicates the last one grade.The value of the existing probability of each grade, the value of Effective Probability can bases in table Practical exploration experience is adjusted, and the embodiment of the present application is not especially limited.

After constructing reservoir forming factor validity factor evaluation standard scale, oil can be obtained according to actual geological prospecting data The corresponding existing probability grade of gas reservoir forming factor and Effective Probability grade, from reservoir forming factor validity factor evaluation standard scale Effective property coefficient of Hydrocarbon Formation Reservoirs element can be obtained.Such as：If the existing probability grade of some Hydrocarbon Formation Reservoirs element is VERLIKELY, Effective Probability grade are VERLIKELY*PROBABLE, directly find existing probability and Effective Probability in table 1 and hand over The cell of fork, the numerical value in the cell are effective property coefficient of Hydrocarbon Formation Reservoirs element.The oil gas can be obtained from table 1 Effective property coefficient of reservoir forming factor can be 0.60.Utilize reservoir forming factor validity factor evaluation standard, especially form Reservoir forming factor validity factor evaluation standard, the effective property coefficient for calculating Hydrocarbon Formation Reservoirs element that can be simple and quick is The screening of follow-up trap saves the time, improves the efficiency and accuracy of trap screening.

1 reservoir forming factor validity factor evaluation standard scale of table

According to actual needs, the other modes such as matrix can also be used to indicate reservoir forming factor validity factor evaluation standard, Inquiry and calculating, the embodiment of the present application is facilitated to be not especially limited.

It, can multiplying effective property coefficient of Hydrocarbon Formation Reservoirs element after the effective property coefficient for obtaining each Hydrocarbon Formation Reservoirs element Probing success rate of the product as trap to be evaluated.Such as：Table 2 is probing success rate computational chart in the embodiment of the present application, such as 2 institute of table Show, Hydrocarbon Formation Reservoirs element oil-source condition, reservoir conditions, cap rock condition, trap condition, migration condition, the validity of preservation condition Coefficient is respectively 1,0.92,0.85,0.85,0.92,0.77, can be by the product 0.47 of effective property coefficient of six reservoir forming factors Probing success rate as trap to be evaluated.

Table 2 drills success rate computational chart

On the basis of the above embodiments, described to utilize reservoir forming factor validity system in the application one embodiment Number evaluation criterion, determines the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element, including：

Specifically, it can also be determined each using reservoir forming factor validity factor evaluation mark according to geology survey data Existing probability grade, the Effective Probability grade of the corresponding Hydrocarbon Formation Reservoirs element of trap to be evaluated.In conjunction with reservoir forming factor validity system Number evaluation criterions, it may be determined that go out under the existing probability grade, Effective Probability grade the existing probability value of Hydrocarbon Formation Reservoirs element, Effective Probability value.Using the existing probability value of Hydrocarbon Formation Reservoirs element, Effective Probability value, the validity system of Hydrocarbon Formation Reservoirs element is obtained Number.Such as：It can be using the product of the existing probability value of Hydrocarbon Formation Reservoirs element and Effective Probability value as the Hydrocarbon Formation Reservoirs element Effective property coefficient can be adjusted and correct to the data of acquisition according to actual needs certainly.It with this method, can be with Quickly calculate effective property coefficient of Hydrocarbon Formation Reservoirs element.

Trap Screening Treatment method provided by the embodiments of the present application, according to practical exploration practices, structure reservoir forming factor is effective Property coefficient evaluation criterion determines having for Hydrocarbon Formation Reservoirs element according to what reservoir forming factor validity factor evaluation standard can quantify Property coefficient is imitated, to realize to the quantitative description of the probing success rate of trap, accurate data are provided for the screening of follow-up trap Basis.

On the basis of the above embodiments, described according to the expected revenus value, the brill in the application one embodiment Success rate is visited, trap the selection result is determined, may include：

Specifically, cross coordinate diagram, the expected revenus value and geology of each trap to be evaluated based on acquisition can be utilized Risk factor classifies each trap to be evaluated.It can be using geology risk factor as abscissa, it is expected that financial value is made For ordinate, or it is expected financial value as abscissa, using geology risk factor as ordinate, and will be preset pre- If financial value, default risk factor construct cross coordinate system as coordinate origin.Fig. 3 is the application one embodiment centre circle The schematic diagram of the cross coordinate diagram of screening is closed, the character marking in Fig. 3 is such as：V-1, K-1, F-1, Q-1 etc. can indicate to be evaluated Trap.As shown in figure 3, geology risk factor could be provided as from left to right being gradually reduced on axis of abscissas, expected revenus value It could be provided as being gradually reduced from top to bottom on axis of ordinates.According to the expected revenus value of each trap to be evaluated of acquisition, Each trap to be evaluated is labeled in cross coordinate system in corresponding quadrant by geology risk factor.As shown in figure 3, to be evaluated The geology risk factor of trap I-1 is less than coordinate origin 0.7, and expected revenus value is more than coordinate origin 1, then can be by circle to be evaluated Close the corresponding position of the corresponding first quartiles for being labeled in cross coordinate system of I-1.

The different quadrants of cross coordinate system can indicate the drilling risk of trap to be evaluated and the difference of economic benefit etc. Grade, if first quartile can indicate risk is small, income is high trap in Fig. 3, the second quadrant can indicate that income is high, risk is big Trap, third quadrant can indicate that the trap that income is low, risk is big, fourth quadrant can indicate the trap that income is low, risk is small. It is located at the position of quadrant in cross coordinate system according to trap, trap can be divided into four classes, such as：I, low-risk, high repayment, II, Low-risk, low return, III, high risk and high reward, IV, high risk, low return.According to the corresponding type of trap, can by I, Low-risk, high repayment preferentially carry out probing deployment as target trap to the trap of low-risk, high repayment.

Trap Screening Treatment method provided by the embodiments of the present application, using cross coordinate system, according to the ground of trap to be evaluated Matter risk factor and expected revenus value, trap to be evaluated are labeled at position different in cross coordinate system, according to be evaluated It is that the classification to trap to be evaluated may be implemented in which quadrant of coordinate system that valence trap, which is located at,.It can understand, intuitively filter out Low-risk, high repayment target trap, preferential probing deployment is carried out to target trap, method is simple, intuitively, improves oil gas Exploration efficiency and economic benefit.

On the basis of the above embodiments, described to utilize the total input, oil price, described to be evaluated of the probing success rate, probing The TRAP RESERVE of valence trap determines expected revenus value of the trap to be evaluated under default recovery ratio, may include：

In above formula, M can indicate that the expected revenus value, r can indicate that the default recovery ratio, S can indicate described Success rate is drilled, P can indicate that the oil price, Q can indicate that the TRAP RESERVE, R indicate geology risk factor, R=1- S。

Using above-mentioned formula, the expected revenus value for providing each trap to be evaluated that can be accurate, quantitative is realized to be evaluated The quantitative screening of valence trap improves the efficiency and economic benefit of oil-gas exploration.

Certainly, the formula in the embodiment of the present application is only a kind of example, can be adjusted according to actual needs to formula Whole or reorganization, the embodiment of the present application are not especially limited.

Fig. 4 is the flow diagram that trap is screened in the application another embodiment, is specifically shown as shown in figure 4, combining Example introduces the technical solution of the embodiment of the present application：

B11, for determining zone trap development to be evaluated at figure by seismic interpretation, plane on post-stack seismic data Number explains trap 24 to be drilled in the embodiment of the present application, is described below for convenience, by 24 traps be named as successively A-1, B-1、C-1……X-1。

B12, using 1 reservoir forming factor validity factor evaluation standard scale of table (geology summed up in exploration practices, research at Hide element validity factor evaluation standard), quantitatively determine out hydrocarbon source rock, reservoir, cap rock, trap, migration, preservation condition each Effective property coefficient of Hydrocarbon Formation Reservoirs element, then six validity multiplications, obtain the probing success rate S of trap to be evaluated. If table 2 is that a certain trap B-1 Hydrocarbon Formation Reservoirs element efficiency analysis and probing success rate computational chart, probing success rate S are final It is calculated as 0.47.

B13, TRAP RESERVE probability curve (such as Fig. 2) to be drilled is calculated using Monte Carlo probability volumetric method, provides difference Under Probability Condition, corresponding TRAP RESERVE numerical value.It is 10%, 50% that probability, which can specifically be chosen, the corresponding trap of 90% when The one third of stock number, three's summation is the stock number Q of about corresponding trap.Calculating is simplified, TRAP RESERVE is improved The speed of calculating,

B14, expected revenus value M of each trap under the conditions of certain recovery ratio (r) is calculated.In the application one embodiment The research general value 0.25 in area may be used in recovery ratio r, and wherein M=Q × r × S × P-Q × r × R × P-T, P can indicate future The oil price predicted, T can indicate to drill total input after trap drilling prospect success, and R can indicate geology risk factor, R=1-S.

B15, using the expected revenus value M of trap as ordinate, Trap evaluation risk factor R is abscissa, utilizes cross 24 traps to be evaluated are thrown in 4 quadrants of cross coordinate, are divided into 4 classes by coordinate diagram：I, low-risk, high repayment, II, low-risk, Low return, III, high risk and high reward；IV, high risk, low return；Finally obtain I classes trap 6, II classes trap 7, III Class trap 4, IV traps 7.

B16, preferably low-risk, high repayment I class traps as first probing deployment target, secondly for low-risk, low time Datagram-style trap and high risk and high reward type trap obtain good economic effect based on the B-1 wells that this method suggestion is disposed first Benefit.

Trap Screening Treatment method provided by the embodiments of the present application, for trap classification preferably, in Trap evaluation wind On the basis of dangerous quantitative analysis, by Economic Evaluation, the economic benefit that jumping through hoops is closed can be treated and make accurate prediction.It carries High hydrocarbon exploration efficiency and economic benefit.

Based on trap Screening Treatment method described above, this specification one or more embodiment also provides a kind of trap Screening Treatment device.The device may include system (including the distribution for having used this specification embodiment the method System), software (application), module, component, server, client etc. and combine the necessary device for implementing hardware.Based on same Innovation thinking, this specification embodiment provide one or more embodiments in device as described in the following examples.Due to Before the implementation that device solves the problems, such as is similar to method, therefore the implementation of the specific device of this specification embodiment may refer to The implementation of method is stated, overlaps will not be repeated.Used below, predetermined work(may be implemented in term " unit " or " module " The combination of the software and/or hardware of energy.It is hard although device described in following embodiment is preferably realized with software The realization of the combination of part or software and hardware is also that may and be contemplated.

Specifically, Fig. 5 is the modular structure schematic diagram of trap Screening Treatment device provided by the embodiments of the present application, such as Fig. 5 Shown, trap Screening Treatment device provided herein includes：Trap identification module 51, validity determining module 52, probing Success rate determining module 53, expected revenus value determining module 54, trap screening module 55.

Trap identification module 51 can be used for obtaining the trap to be evaluated in area to be analyzed according to seismic data；

Validity determining module 52 can be used for, using the reservoir forming factor validity factor evaluation standard established, determining institute State the corresponding effective property coefficient of Hydrocarbon Formation Reservoirs element of trap to be evaluated；

Success rate determining module 53 is drilled, can be used for according to the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element, really The probing success rate of the fixed trap to be evaluated；

Expected revenus value determining module 54 can be used for utilizing the total input, oil price, described of the probing success rate, probing The TRAP RESERVE of trap to be evaluated determines expected revenus value of the trap to be evaluated under default recovery ratio；

Trap screening module 55 can be used for, according to the expected revenus value, the probing success rate, determining that trap is screened As a result.

Trap Screening Treatment device provided by the present application, according to Hydrocarbon Formation Reservoirs element, quantitative calculating trap to be evaluated Success rate is drilled, according to probing success rate, each trap to be evaluated is calculated in conjunction with TRAP RESERVE, oil price, the total input of probing etc. Expected revenus value.According to calculate obtain expected revenus value and probing success rate can accurately to trap to be evaluated exploration Risk, economic benefit are evaluated, and further filter out that exploration risk small (drill success rate high), expected revenus value is high waits for Trap is evaluated, probing deployment scheme is implemented according to the trap to be evaluated filtered out, improves the standard of trap the selection result to be evaluated True property realizes the accurate prediction of economic benefit of trap to be evaluated, improves hydrocarbon exploration efficiency and economic benefit.

Fig. 6 is the structural schematic diagram of validity determining module in the application one embodiment, as shown in fig. 6, in above-mentioned reality On the basis of applying example, in the application one embodiment, the validity determining module 52 may include：

Evaluation criterion construction unit 61, can be used for building the reservoir forming factor validity factor evaluation standard, it is described at Hide the grade and Effective Probability that element validity factor evaluation standard includes the corresponding existing probability of the Hydrocarbon Formation Reservoirs element Grade；

Reservoir forming factor grade acquiring unit 62, the Hydrocarbon Formation Reservoirs element that can be used for obtaining the trap to be evaluated are corresponding Existing probability grade, Effective Probability grade；

Reservoir forming factor coefficient of efficiency acquiring unit 63 can be used for according to the existing probability grade, Effective Probability grade, Using the reservoir forming factor validity factor evaluation standard, the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element is determined.

Trap Screening Treatment device provided by the present application builds the effective property coefficient of reservoir forming factor according to practical exploration practices Evaluation criterion, the validity system for determining Hydrocarbon Formation Reservoirs element that can be quantified according to reservoir forming factor validity factor evaluation standard Number provides accurate data basis to realize to the quantitative description of the probing success rate of trap for the screening of follow-up trap.

On the basis of the above embodiments, in the application one embodiment, the reservoir forming factor coefficient of efficiency acquiring unit It is specifically used for：

Trap Screening Treatment device provided by the present application, using reservoir forming factor validity factor evaluation standard obtain oil gas at Hide element existing probability grade, Effective Probability grade, further determine that out the corresponding existing probability value of oil gas reservoir forming factor and Effective Probability value, the effective property coefficient for determining Hydrocarbon Formation Reservoirs element that can be quantified, to realize the probing success rate to trap Quantitative description, provide accurate data basis for the screening of follow-up trap.

On the basis of the above embodiments, in the application one embodiment, the probing success rate determining module 53 is specific For：

Trap Screening Treatment device provided by the present application gives the quantitative calculation method of probing success rate, for follow-up circle Quantitative analysis, the screening closed provide accurate data basis.

Fig. 7 is the structural schematic diagram of trap screening module in the application one embodiment, as shown in fig. 7, in above-mentioned implementation On the basis of example, in the application one embodiment, the trap screening module 55 may include：

Risk factor determination unit 71 can be used for determining the geology of the trap to be evaluated according to the probing success rate Risk factor；

Target trap determination unit 72 can be used for the expected revenus value being more than default financial value, and the geology Risk factor is less than the trap to be evaluated of default risk factor as target trap, and probing deployment is carried out to the target trap.

Trap Screening Treatment device provided by the present application is based on geologic risk and economic benefit, carries out the quantitative of trap Analysis and Screening, can accurately filter out low-risk, high repayment target trap, probing side is implemented according to the trap that filters out Case improves the accuracy of trap the selection result to be evaluated, realizes the relatively Accurate Prediction of the economic benefit of trap to be evaluated, carries The high efficiency and economic benefit of oil-gas exploration.

Fig. 8 is the structural schematic diagram of trap screening module in the application another embodiment, as shown in figure 8, in above-mentioned reality On the basis of applying example, in the application one embodiment, the trap screening module 55 may include：

Coordinate system construction unit 81 can be used for building cross coordinate system, by the default financial value, the default risk Coordinate origin of the coefficient as the cross coordinate system, using the geology risk factor, the expected revenus value as institute State abscissa, the ordinate of cross coordinate system, or using the expected revenus value, the geology risk factor as described ten Abscissa, the ordinate of word coordinate system；

Trap marks unit 82, can be used for according to the corresponding expected revenus value of the trap to be evaluated, geologic risk system Number, the trap to be evaluated is labeled in the different quadrants of the cross coordinate system；

Trap taxon 83 can be used for according to the quadrant where the trap to be evaluated, to the trap to be evaluated Classify, determines the target trap.

Trap Screening Treatment device provided by the present application, using cross coordinate system, according to the geologic risk of trap to be evaluated Coefficient and expected revenus value, trap to be evaluated are labeled at position different in cross coordinate system, according to trap to be evaluated Positioned at being that the classification to trap to be evaluated may be implemented in which quadrant of coordinate system.Can understand, intuitively filter out low-risk, The target trap of high repayment carries out preferential probing deployment to target trap, and method is simple, intuitively, improves hydrocarbon exploration efficiency And economic benefit.

On the basis of the above embodiments, in the application one embodiment, the expected revenus value determining module can wrap It includes：

Trap Screening Treatment device provided by the present application accurately calculates trap using Monte Carlo probability volumetric method and provides Source is measured, and method is simple, realizes the quick calculating of TRAP RESERVE, and accurate data basis is provided for the screening of follow-up trap.

On the basis of the above embodiments, in the application one embodiment, the expected revenus value determining module is specifically used In：

Trap Screening Treatment device provided by the present application, can the accurately quantitative expectation for providing each trap to be evaluated Financial value realizes the quantitative screening to trap to be evaluated, improves the exploration efficiency and economic benefit of oil gas.

It should be noted that device described above can also include other embodiment party according to the description of embodiment of the method Formula, concrete implementation mode are referred to the description of related method embodiment, do not repeat one by one herein.

It is above-mentioned that this specification specific embodiment is described.Other embodiments are in the scope of the appended claims It is interior.In some cases, the action recorded in detail in the claims or step can be come according to different from the sequence in embodiment It executes and desired result still may be implemented.In addition, the process described in the accompanying drawings not necessarily require show it is specific suitable Sequence or consecutive order could realize desired result.In some embodiments, multitasking and parallel processing be also can With or it may be advantageous.

The method or apparatus described in above-described embodiment that this specification provides can realize that business is patrolled by computer program It collects and records on a storage medium, the storage medium can be read and be executed with computer, realize this specification embodiment institute The effect of description scheme.Therefore, this specification also provides a kind of trap Screening Treatment device, including processor and storage processor The memory of executable instruction is realized when described instruction is executed by the processor and is included the following steps：

The storage medium may include the physical unit for storing information, typically by after information digitalization again with profit The media of the modes such as electricity consumption, magnetic or optics are stored.The storage medium, which has, may include：Letter is stored in the way of electric energy The device of breath such as, various memory, such as RAM, ROM；The device of information is stored in the way of magnetic energy such as, hard disk, floppy disk, magnetic Band, core memory, magnetic bubble memory, USB flash disk；Using optical mode store information device such as, CD or DVD.Certainly, also its Readable storage medium storing program for executing of his mode, such as quantum memory, graphene memory etc..

It should be noted that device described above can also include other embodiment party according to the description of embodiment of the method Formula.Concrete implementation mode is referred to the description of related method embodiment, does not repeat one by one herein.

The above-mentioned trap Screening Treatment method or apparatus that this specification embodiment provides can be in a computer by processor Corresponding program instruction is executed to realize, such as using the c++ language of windows operating systems in the realization of the ends PC, Linux system reality Now or other are for example realized in intelligent terminal using android, iOS system programming language, and are based on quantum computer Processing logic realize etc..In a kind of one embodiment for trap Screening Treatment system that this specification provides, Fig. 9 is the application The modular structure schematic diagram of a kind of trap Screening Treatment system embodiment provided, as shown in figure 9, another embodiment of the application carries The trap Screening Treatment system of confession may include processor 91 and the memory 92 for storing processor-executable instruction,

Processor 91 and memory 92 complete mutual communication by bus 93；

The processor 91 is used to call the program instruction in the memory 92, to execute above-mentioned each trap Screening Treatment The method that embodiment of the method is provided, such as including：According to seismic data, the trap to be evaluated in area to be analyzed is obtained；Profit With the reservoir forming factor validity factor evaluation standard of foundation, determine that the Hydrocarbon Formation Reservoirs element of the trap to be evaluated is corresponding effectively Property coefficient；According to the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element, the probing success rate of the trap to be evaluated is determined；Profit With the probing success rate, probing total input, oil price, the TRAP RESERVE of the trap to be evaluated, the circle to be evaluated is determined Close the expected revenus value under default recovery ratio；According to the expected revenus value, the probing success rate, trap screening knot is determined Fruit.

It should be noted that specification device described above can also include it according to the description of related method embodiment His embodiment, concrete implementation mode are referred to the description of embodiment of the method, do not repeat one by one herein.In the application Each embodiment be described in a progressive manner, the same or similar parts between the embodiments can be referred to each other, often What a embodiment stressed is all difference from other examples.For hardware+program class embodiment, Since it is substantially similar to the method embodiment, so what is described is fairly simple, related place is said referring to the part of embodiment of the method It is bright.

This specification embodiment is not limited to meet industry communication standard, standard computer data processing sum number According to situation described in storage rule or this specification one or more embodiment.The right way of conduct is made in certain professional standards or use by oneself In formula or the practice processes of embodiment description embodiment modified slightly can also realize above-described embodiment it is identical, it is equivalent or The implementation result being anticipated that after close or deformation.Using these modifications or deformed data acquisition, storage, judgement, processing side The embodiment of the acquisitions such as formula still may belong within the scope of the optional embodiment of this specification embodiment.

In the 1990s, the improvement of a technology can be distinguished clearly be on hardware improvement (for example, Improvement to circuit structures such as diode, transistor, switches) or software on improvement (improvement for method flow).So And with the development of technology, the improvement of current many method flows can be considered as directly improving for hardware circuit. Designer nearly all obtains corresponding hardware circuit by the way that improved method flow to be programmed into hardware circuit.Cause This, it cannot be said that the improvement of a method flow cannot be realized with hardware entities module.For example, programmable logic device (Programmable Logic Device, PLD) (such as field programmable gate array (Field Programmable Gate Array, FPGA)) it is exactly such a integrated circuit, logic function determines device programming by user.By designer Voluntarily programming comes a digital display circuit " integrated " on a piece of PLD, designs and makes without asking chip maker Dedicated IC chip.Moreover, nowadays, substitution manually makes IC chip, this programming is also used instead mostly " patrols Volume compiler (logic compiler) " software realizes that software compiler used is similar when it writes with program development, And the source code before compiling also write by handy specific programming language, this is referred to as hardware description language (Hardware Description Language, HDL), and HDL is also not only a kind of, but there are many kind, such as ABEL (Advanced Boolean Expression Language)、AHDL(Altera Hardware Description Language)、Confluence、CUPL(Cornell University Programming Language)、HDCal、JHDL (Java Hardware Description Language)、Lava、Lola、MyHDL、PALASM、RHDL(Ruby Hardware Description Language) etc., VHDL (Very-High-Speed are most generally used at present Integrated Circuit Hardware Description Language) and Verilog.Those skilled in the art also answer This understands, it is only necessary to method flow slightly programming in logic and is programmed into integrated circuit with above-mentioned several hardware description languages, The hardware circuit for realizing the logical method flow can be readily available.

Controller can be implemented in any suitable manner, for example, controller can take such as microprocessor or processing The computer for the computer readable program code (such as software or firmware) that device and storage can be executed by (micro-) processor can Read medium, logic gate, switch, application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), the form of programmable logic controller (PLC) and embedded microcontroller, the example of controller includes but not limited to following microcontroller Device：ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20 and Silicone Labs C8051F320, are deposited Memory controller is also implemented as a part for the control logic of memory.It is also known in the art that in addition to Pure computer readable program code mode is realized other than controller, can be made completely by the way that method and step is carried out programming in logic Controller is obtained in the form of logic gate, switch, application-specific integrated circuit, programmable logic controller (PLC) and embedded microcontroller etc. to come in fact Existing identical function.Therefore this controller is considered a kind of hardware component, and to including for realizing various in it The device of function can also be considered as the structure in hardware component.Or even, it can will be regarded for realizing the device of various functions For either the software module of implementation method can be the structure in hardware component again.

System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity, Or it is realized by the product with certain function.It is a kind of typically to realize that equipment is computer.Specifically, computer for example may be used Think personal computer, laptop computer, vehicle-mounted human-computer interaction device, cellular phone, camera phone, smart phone, individual Digital assistants, media player, navigation equipment, electronic mail equipment, game console, tablet computer, wearable device or The combination of any equipment in these equipment of person.

Although this specification one or more embodiment provides the method operating procedure as described in embodiment or flow chart, But may include more or less operating procedure based on the conventional means either without creativeness.The step of being enumerated in embodiment Sequence is only a kind of mode in numerous step execution sequences, does not represent and unique executes sequence.Device in practice or When end product executes, can according to embodiment either method shown in the drawings sequence execute or it is parallel execute it is (such as parallel The environment of processor or multiple threads, even distributed data processing environment).The terms "include", "comprise" or its Any other variant is intended to non-exclusive inclusion so that including the processes of a series of elements, method, product or Equipment includes not only those elements, but also includes other elements that are not explicitly listed, or further include for this process, Method, product or the intrinsic element of equipment.In the absence of more restrictions, being not precluded including the element There is also other identical or equivalent elements in process, method, product or equipment.The first, the second equal words are used for indicating name Claim, and does not represent any particular order.

For convenience of description, it is divided into various modules when description apparatus above with function to describe respectively.Certainly, implementing this The function of each module is realized can in the same or multiple software and or hardware when specification one or more, it can also The module for realizing same function is realized by the combination of multiple submodule or subelement etc..Device embodiment described above is only It is only illustrative, for example, in addition the division of the unit, only a kind of division of logic function can have in actual implementation Dividing mode, such as multiple units or component can be combined or can be integrated into another system or some features can be with Ignore, or does not execute.Another point, shown or discussed mutual coupling, direct-coupling or communication connection can be logical Some interfaces are crossed, the INDIRECT COUPLING or communication connection of device or unit can be electrical, machinery or other forms.

The present invention be with reference to according to the method for the embodiment of the present invention, the flow of device (system) and computer program product Figure and/or block diagram describe.It should be understood that can be realized by computer program instructions every first-class in flowchart and/or the block diagram The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided Instruct the processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce A raw machine so that the instruction executed by computer or the processor of other programmable data processing devices is generated for real The device for the function of being specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.

These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works so that instruction generation stored in the computer readable memory includes referring to Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or The function of being specified in multiple boxes.

These computer program instructions also can be loaded onto a computer or other programmable data processing device so that count Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, in computer or The instruction executed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one The step of function of being specified in a box or multiple boxes.

In a typical configuration, computing device includes one or more processors (CPU), input/output interface, net Network interface and memory.

Memory may include computer-readable medium in volatile memory, random access memory (RAM) and/or The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium Example.

Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method Or technology realizes information storage.Information can be computer-readable instruction, data structure, the module of program or other data. The example of the storage medium of computer includes, but are not limited to phase transition internal memory (PRAM), static RAM (SRAM), moves State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable Programmable read only memory (EEPROM), fast flash memory bank or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM), Digital versatile disc (DVD) or other optical storages, magnetic tape cassette, tape magnetic disk storage, graphene stores or other Magnetic storage apparatus or any other non-transmission medium can be used for storage and can be accessed by a computing device information.According to herein In define, computer-readable medium does not include temporary computer readable media (transitory media), such as data of modulation Signal and carrier wave.

It will be understood by those skilled in the art that this specification one or more embodiment can be provided as method, system or calculating Machine program product.Therefore, this specification one or more embodiment can be used complete hardware embodiment, complete software embodiment or The form of embodiment combining software and hardware aspects.Moreover, this specification one or more embodiment can be used at one or It is multiple wherein include computer usable program code computer-usable storage medium (include but not limited to magnetic disk storage, CD-ROM, optical memory etc.) on the form of computer program product implemented.

Each embodiment in this specification is described in a progressive manner, identical similar portion between each embodiment Point just to refer each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality For applying example, since it is substantially similar to the method embodiment, so description is fairly simple, related place is referring to embodiment of the method Part explanation.In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", The description of " specific example " or " some examples " etc. means specific features described in conjunction with this embodiment or example, structure, material Or feature is contained at least one embodiment or example of this specification.In the present specification, to the signal of above-mentioned term Property statement be necessarily directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described It may be combined in any suitable manner in any one or more of the embodiments or examples.In addition, without conflicting with each other, this The technical staff in field can be by the spy of different embodiments or examples described in this specification and different embodiments or examples Sign is combined.

The foregoing is merely the embodiments of this specification one or more embodiment, are not limited to book explanation Book one or more embodiment.To those skilled in the art, this specification one or more embodiment can have various Change and variation.All any modification, equivalent replacement, improvement and so within spirit herein and principle should all include Within right.

Claims

1. a kind of trap Screening Treatment method, which is characterized in that including：

Using the reservoir forming factor validity factor evaluation standard of foundation, determine that the Hydrocarbon Formation Reservoirs element of the trap to be evaluated corresponds to Effective property coefficient；

Using the probing success rate, probing total input, oil price, the TRAP RESERVE of the trap to be evaluated, waited for described in determination Evaluate expected revenus value of the trap under default recovery ratio；

2. a kind of trap Screening Treatment method as described in claim 1, which is characterized in that described to utilize the reservoir forming factor established Validity factor evaluation standard determines the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element of the trap to be evaluated, including：

The reservoir forming factor validity factor evaluation standard is built, the reservoir forming factor validity factor evaluation standard includes described The grade of the grade and Effective Probability of the corresponding existing probability of Hydrocarbon Formation Reservoirs element；

It is determined using the reservoir forming factor validity factor evaluation standard according to the existing probability grade, Effective Probability grade The corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element.

3. a kind of trap Screening Treatment method as claimed in claim 2, which is characterized in that described to have using the reservoir forming factor Property coefficient evaluation criterion is imitated, determines the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element, including：

According to the corresponding existing probability grade of the Hydrocarbon Formation Reservoirs element of the trap to be evaluated, Effective Probability grade, using described Reservoir forming factor validity factor evaluation standard obtains the corresponding existing probability value of the Hydrocarbon Formation Reservoirs element and Effective Probability value；

4. a kind of trap Screening Treatment method as described in claim 1, which is characterized in that described to be wanted according to the Hydrocarbon Formation Reservoirs The corresponding effective property coefficient of element, determines the probing success rate of the trap to be evaluated, including：

Using the product of the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element as the probing success rate of the trap to be evaluated.

5. a kind of trap Screening Treatment method as described in claim 1, which is characterized in that described according to the expected revenus Value, the probing success rate, determine trap the selection result, including：

The expected revenus value is more than default financial value, and the geology risk factor is less than the to be evaluated of default risk factor Trap carries out probing deployment as target trap, to the target trap.

6. a kind of trap Screening Treatment method as claimed in claim 5, which is characterized in that described according to the expected revenus Value, the probing success rate, determine trap the selection result, including：

Cross coordinate system is built, using the default financial value, the default risk factor as the coordinate of the cross coordinate system Origin, using the geology risk factor, the expected revenus value as the abscissa of the cross coordinate system, ordinate, Or using the expected revenus value, the geology risk factor as the abscissa of the cross coordinate system, ordinate；

According to the corresponding expected revenus value of the trap to be evaluated, geology risk factor, the trap to be evaluated is labeled in institute It states in the different quadrants of cross coordinate system；

According to the quadrant where the trap to be evaluated, classify to the trap to be evaluated, determines the target trap.

7. a kind of trap Screening Treatment method as described in claim 1, which is characterized in that the acquisition side of the TRAP RESERVE Method includes：

The TRAP RESERVE is determined using Monte Carlo probability volumetric method.

8. such as a kind of trap Screening Treatment method of claim 1-7 any one of them, which is characterized in that waited for described in the determination Expected revenus value of the trap under default recovery ratio is evaluated, including：

In above formula, M indicates that the expected revenus value, r indicate that the default recovery ratio, S indicate that the probing success rate, P indicate The oil price, Q indicate that the TRAP RESERVE, R indicate geology risk factor, R=1-S.

9. a kind of trap Screening Treatment device, which is characterized in that including：

Validity determining module, for using the reservoir forming factor validity factor evaluation standard established, determining the circle to be evaluated The corresponding effective property coefficient of Hydrocarbon Formation Reservoirs element closed；

Success rate determining module is drilled, for according to the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element, determining described to be evaluated The probing success rate of valence trap；

Expected revenus value determining module, for utilizing the probing success rate, probing total input, oil price, the trap to be evaluated TRAP RESERVE, determine expected revenus value of the trap to be evaluated under default recovery ratio；

10. a kind of trap Screening Treatment device as claimed in claim 9, which is characterized in that the validity determining module packet It includes：

Evaluation criterion construction unit, for building the reservoir forming factor validity factor evaluation standard, the reservoir forming factor is effective Property coefficient evaluation criterion includes the grade of the grade and Effective Probability of the corresponding existing probability of the Hydrocarbon Formation Reservoirs element；

Reservoir forming factor grade acquiring unit, the corresponding existing probability of Hydrocarbon Formation Reservoirs element etc. for obtaining the trap to be evaluated Grade, Effective Probability grade；

Reservoir forming factor coefficient of efficiency acquiring unit, for according to the existing probability grade, Effective Probability grade, using it is described at Element validity factor evaluation standard is hidden, determines the corresponding effective property coefficient of the Hydrocarbon Formation Reservoirs element.

11. a kind of trap Screening Treatment device as claimed in claim 10, which is characterized in that the reservoir forming factor coefficient of efficiency Acquiring unit is specifically used for：

12. a kind of trap Screening Treatment device as claimed in claim 9, which is characterized in that the probing success rate determines mould Block is specifically used for：

13. a kind of trap Screening Treatment device as claimed in claim 9, which is characterized in that the trap screening module includes：

Risk factor determination unit, the geology risk factor for determining the trap to be evaluated according to the probing success rate；

Target trap determination unit, for the expected revenus value to be more than default financial value, and the geology risk factor is small In the trap to be evaluated for presetting risk factor as target trap, probing deployment is carried out to the target trap.

14. a kind of trap Screening Treatment device as claimed in claim 13, which is characterized in that the trap screening module is also wrapped It includes：

Coordinate system construction unit, for building cross coordinate system, using the default financial value, the default risk factor as institute The coordinate origin for stating cross coordinate system, using the geology risk factor, the expected revenus value as the cross coordinate Abscissa, the ordinate of system, or using the expected revenus value, the geology risk factor as the cross coordinate system Abscissa, ordinate；

Trap marks unit, for according to the corresponding expected revenus value of the trap to be evaluated, geology risk factor, being waited for described Evaluation trap is labeled in the different quadrants of the cross coordinate system；

Trap taxon, for according to the quadrant where the trap to be evaluated, classifying to the trap to be evaluated, really The fixed target trap.

15. a kind of trap Screening Treatment device as claimed in claim 9, which is characterized in that the expected revenus value determines mould Block includes：

16. such as a kind of trap Screening Treatment device of claim 9-15 any one of them, which is characterized in that the expected revenus Value determining module is specifically used for：

17. a kind of trap Screening Treatment device, which is characterized in that including processor and for storing processor-executable instruction Memory is realized when described instruction is executed by the processor and is included the following steps：

18. a kind of trap Screening Treatment system, which is characterized in that including processor and for storing processor-executable instruction Memory, the processor realized when executing described instruction such as the step of any one of claim 1 to 8 the method.