CN108732621A - Depth prediction technique when a kind of fine with brill based on FFC- resistivity - Google Patents
Depth prediction technique when a kind of fine with brill based on FFC- resistivity Download PDFInfo
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- CN108732621A CN108732621A CN201810223045.3A CN201810223045A CN108732621A CN 108732621 A CN108732621 A CN 108732621A CN 201810223045 A CN201810223045 A CN 201810223045A CN 108732621 A CN108732621 A CN 108732621A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/30—Analysis
- G01V1/306—Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/30—Analysis
- G01V1/303—Analysis for determining velocity profiles or travel times
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/61—Analysis by combining or comparing a seismic data set with other data
- G01V2210/616—Data from specific type of measurement
- G01V2210/6169—Data from specific type of measurement using well-logging
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/62—Physical property of subsurface
- G01V2210/622—Velocity, density or impedance
- G01V2210/6222—Velocity; travel time
Abstract
The invention discloses a kind of based on FFC- resistivity with depth prediction technique when boring fine, includes the following steps：S1, earthquake and well-log information are integrated, proposes to consider the prediction of lithological information classification speed, passes through following formula：, calculate mud stone velocity amplitude；S2, region well-log information is integrated, proposes to consider the prediction of pore-fluid information rate, passes through following formula：, carry out seeking for water bearing sand speed；S3, gas-bearing formation fluid replacement water layer resistivity value is calculated, formation velocity value is sought by the statistical relationship between resistivity curve and velocity of longitudinal wave curve using above-mentioned shale resistivity value, gas sand resistivity value and water sand resistivity value, beneficial effects of the present invention are：Applicability is wide, precision of prediction is high, timeliness is fast, simple to operation, can be to provide decision-making foundation with live card layer, the casing operation program etc. in brill, reduce drillng operation number of days, and then considerably reduce exploration operation cost.
Description
Technical field
The present invention relates to oil-gas exploration technical field more particularly to it is a kind of based on FFC- resistivity with bore it is fine when it is deeply pre-
Survey method.
Background technology
With the continuous improvement of oil-gas exploration to deepen continuously with exploration level, the emphasis of gas and oil in sea has moved towards
The fields such as deep water-ultra-deep-water, high temperature and pressure, it is exactly that exploration operation is of high cost, wind to have outstanding feature in the exploration in these fields
Danger is big.Depth relationship when accurately being predicted in drilling process, card layer contributes to the brill in crucial drilling process deeply when completing fine
It visits decision to judge, completes the professional tasks such as setting of casing, reduce industry risk, support personnel's safety and economic benefit.In addition it is storing up
In layer prediction, the technical research application such as fluid detection, velocity of longitudinal wave data play the role of it is very important, it be AVO analyze,
Shake the premise and basis of forward modeling and prestack inversion.
But since many reasons lead to certain wells or well section velocity of longitudinal wave data deficiencies, seriously constrain with deep when boring fine
Prediction brings larger risk to probing.Also constrain subsequent Rock physical analysis and reservoir prediction technique, fluid simultaneously
Therefore the application of detection technique develops high-precision and the velocity of longitudinal wave Predicting Technique for having applicability has oil-gas exploration and development
It is significant.
In terms of velocity of longitudinal wave prediction, researcher has carried out a large amount of work, it is proposed that a variety of Predicting Techniques have base
In using Xu-White theoretical models as a variety of theory pattern laws of representative, there is containing based on porosity, shale for the propositions such as Han, Nur
The empirical formula method and Gardner of amount propose the empirical formula method based on density curve, the wherein experiences such as theory pattern law and Han
Equation needs to provide accurate mineral and fluid content, and Gardner formula need density log curve, but in current portion
Divide and only have gamma and resistance log in well, so that being unable to get accurate mineral and fluid content, therefore theory can not be used
The empirical equations such as model and Han carry out velocity of longitudinal wave prediction, since Gardner formula can not be predicted according to lithology, also without
Method obtains accurate velocity of longitudinal wave according to Gardner formula.
Although Faust is proposed predicts velocity of longitudinal wave according to the statistical relationship between resistivity curve and velocity of longitudinal wave curve
Formula, but by being found to a large amount of statistical analysis in THE WESTERN SOUTH CHINA SEA oil field, only water layer, the resistivity of mud stone and velocity of longitudinal wave
With preferable correlativity, the velocity of longitudinal wave of oil-gas Layer and the correlativity of resistivity are not obvious, it is seen that are directly used
Faust formula also can only preferably predict the velocity of longitudinal wave of water layer, mud stone, can not preferably predict the velocity of longitudinal wave of oil reservoir, gas-bearing formation.
Acoustic travel time logging has a wide range of applications in formation evaluation, reservoir description and seismic interpretation etc..Especially
Synthetic seismogram is carried out using acoustic logging data, seismic data and well-log information can be not only used in combination, can also be carried out
The prediction of reservoir parameter.Resistivity is typically converted into sound wave with Faust formula, but due to the Faust formula office of itself
It is sex-limited, it is not particularly suited for all stratum.In general, different parameters may be selected for different lithology, but due to these
Parameter is the approximation counted by mass data, therefore not necessarily best for the parameter of specific its selection of area
Parameter；Even areal, since Different Strata buried depth is different, depositional environment is different, the longitudinal wave speed of rock is not yet
It is certain identical.
Formation velocity has more complicated relationship, Ge Laoer approximatively to be ground with Faust formula with electrical and buried depth
The relationship of interval velocity and resistivity is studied carefully；Xu Qunzhou has obtained under formation conditions rock during fluid drive row in laboratory conditions
Changing rule between stone velocity of wave and resistivity and correlation between the two；Yan Liangjun is to micro logging speed and the point
The various approximation relation formula of place's transition Data Inversion resistivity and depth are studied, it is believed that with the height of lg (ρ) and lg (v)
Rank multinomial is fitted formation velocity, can obtain preferable fitting precision；Huang Junming applies center in Central Junggar Basin
Loop line DEEP TRANSIENT ELECTROMAGNETIC SOUNDING has carried out the experiment of desert region surface structure survey.
Faust formula characterize the statistical relationship between formation resistivity curve and sound wave curve, are not particularly suited for allly
Layer, this is because sound wave curve and resistivity curve be in addition to other than by Lithologic Effects, influence of the fluid to resistivity in rock stratum
Compare the influence bigger of sound wave.The applicable elements of Faust formula are that have good statistics between resistivity curve and sound wave curve
The stratum of relationship can utilize Faust formula, sound wave is reconstructed by resistivity curve in this way in the case of sound wave serious distortion
Curve；For the survey region of Faust mathematical expressions recognitions, the stratum under same depositional environment under same depositional environment determines
Afterwards, the value of formula also determines that, selects the well section under same depositional environment, utilizes the high-quality data of same stratum offset well
In curve, sought by formula.If having high-quality data in the other same type well section of this well, these can be utilized
Curve in data is sought by formula.
Since a large amount of statistical analyses show that water layer, the resistivity of mud stone and velocity of longitudinal wave have good correlation, because
This proposes a kind of new velocity of longitudinal wave predicted method based on resistivity
Although Faust proposes the public affairs for predicting velocity of longitudinal wave according to the statistical relationship between resistivity curve and velocity of longitudinal wave curve
Formula, but by finding that only water layer, the resistivity of mud stone and velocity of longitudinal wave have to a large amount of statistical analysis in THE WESTERN SOUTH CHINA SEA oil field
Preferable correlativity, the velocity of longitudinal wave of oil-gas Layer and the correlativity of resistivity are not obvious, it is seen that directly use Faust public
Formula also can only preferably predict the velocity of longitudinal wave of water layer, mud stone, can not preferably predict the velocity of longitudinal wave of oil reservoir, gas-bearing formation.
Faust proposes the public affairs that velocity of longitudinal wave is predicted according to the statistical relationship between resistivity curve and velocity of longitudinal wave curve
Formula, but it has the present situation that application effect is poor, realization efficiency is low in THE WESTERN SOUTH CHINA SEA oil field.It is found by a large amount of statistical analysis,
Increasing a upper constant term in empirical equation can improve to the fitting of the resistivity and velocity of longitudinal wave of water layer, mud stone, and other root
Propose the logarithmic function relationship of speed and resistivity according to regional characteristics such as THE WESTERN SOUTH CHINA SEA high temperature and pressure and deep water, fitting precision into
One step improves.According to different lithology fluid, there are different trend in statistics, it is proposed that the speed under lithology and fluid control is pre-
Survey theory.Studies have shown that the velocity of longitudinal wave of oil-gas Layer and the correlativity of resistivity are not obvious, it is seen that directly using public
Formula also can only preferably predict the velocity of longitudinal wave of water layer, mud stone, the velocity of longitudinal wave of oil reservoir, gas-bearing formation can not preferably be predicted, in conjunction with fluid
Thinking is replaced, proposes hydrocarbonaceous well logging section speed predicting method.Divide resistivity logging while drilling predetermined speed energy under lithofacies and fluid control
Enough fine completion time and depth transfers, are obviously improved compared with conventional method precision, meet required precision in engineering.
Invention content
The present invention provides a kind of based on FFC- resistivity with depth prediction technique when boring fine, the adaptability of technology is wide,
Precision of prediction is high, timeliness is fast, simple to operation, can for live card layer, the casing operation program etc. in brill provide decision according to
According to, reduction drillng operation number of days, and then exploration operation cost is considerably reduced, while security risk is reduced, benefit can not
Estimate.
In order to solve the above technical problems, the embodiment of the present application is deep when providing a kind of fine with brill based on FFC- resistivity
Prediction technique, it is characterised in that：Include the following steps：
S1, earthquake and well-log information are integrated, proposes to consider the prediction of lithological information classification speed, passes through following formula：
, calculate mud stone velocity amplitude；
S2, region well-log information is integrated, proposes to consider the prediction of pore-fluid information rate, passes through following formula：
, carry out seeking for water bearing sand speed；
S3, calculate gas-bearing formation fluid replace water layer resistivity value, using above-mentioned shale resistivity value, gas sand resistivity value and
Water sand resistivity value seeks formation velocity value by the statistical relationship between resistivity curve and velocity of longitudinal wave curve.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages：
The adaptability of technology is wide, precision of prediction is high, timeliness is fast, simple to operation, can be to make with live card layer, the casing in brill
Industry program etc. provides decision-making foundation, reduces drillng operation number of days, and then considerably reduce exploration operation cost, reduces simultaneously
Security risk, benefit is inestimable, does one's bit for company's cost efficiency.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, 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 of invention, for those of ordinary skill in the art, without having to pay creative labor, also
It can be obtain other attached drawings according to these attached drawings.
Fig. 1 is the techniqueflow chart of the present invention.
Specific implementation mode
In order to better understand the above technical scheme, in conjunction with appended figures and specific embodiments to upper
Technical solution is stated to be described in detail.
As shown in Fig. 1 and figure, described in the present embodiment it is a kind of based on FFC- resistivity with bore it is fine when depth prediction technique,
Include the following steps：
S1, earthquake and well-log information are integrated, proposes to consider the prediction of lithological information classification speed, passes through following formula：
, calculate mud stone velocity amplitude；
S2, region well-log information is integrated, proposes to consider the prediction of pore-fluid information rate, passes through following formula：
, carry out seeking for water bearing sand speed；
S3, calculate gas-bearing formation fluid replace water layer resistivity value, using above-mentioned shale resistivity value, gas sand resistivity value and
Water sand resistivity value seeks formation velocity value by the statistical relationship between resistivity curve and velocity of longitudinal wave curve.
It is predicted deeply when resistivity logging while drilling based on FFC is fine, it can be in the case of not with interval transit time is bored, when completion
Prediction deeply carries out Fine calibration, prediction drill bit and target zone position to subsurface formations, to provide foundation with brill decision, the technology
It is obviously improved compared to traditional prediction method precision, prediction error deeply becomes 1/6.3 when being predicted compared to Application density, phase
Prediction error deeply becomes 1/7.8 when compared with application gamma curve prediction, and prediction error is 1/ deeply when being predicted compared to body of velocity
5.8, depth Relationship Prediction error is 1/2.6 when being predicted compared to traditional resistor rate.From the point of view of comparing, the technology is in original prediction
Technological prediction precision is obviously improved.
The above described is only a preferred embodiment of the present invention, be not intended to limit the present invention in any form, though
So the present invention has been disclosed as a preferred embodiment, and however, it is not intended to limit the invention, any technology people for being familiar with this profession
Member, without departing from the scope of the present invention, when the technology contents using the disclosure above make a little change or modification
For the equivalent embodiment of equivalent variations, as long as being the content without departing from technical solution of the present invention, according to the technical essence of the invention
To any simple modification, equivalent change and modification made by above example, in the range of still falling within technical solution of the present invention.
Claims (1)
1. depth prediction technique when a kind of fine with brill based on FFC- resistivity, it is characterised in that：Include the following steps：
S1, earthquake and well-log information are integrated, proposes to consider the prediction of lithological information classification speed, passes through following formula：
, calculate mud stone velocity amplitude；
S2, region well-log information is integrated, proposes to consider the prediction of pore-fluid information rate, passes through following formula：
, carry out seeking for water bearing sand speed；
S3, calculate gas-bearing formation fluid replace water layer resistivity value, using above-mentioned shale resistivity value, gas sand resistivity value and
Water sand resistivity value seeks formation velocity value by the statistical relationship between resistivity curve and velocity of longitudinal wave curve.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810223045.3A CN108732621B (en) | 2018-03-19 | 2018-03-19 | FFC-resistivity-based while-drilling fine time depth prediction method |
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| CN201810223045.3A CN108732621B (en) | 2018-03-19 | 2018-03-19 | FFC-resistivity-based while-drilling fine time depth prediction method |
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| CN108732621A true CN108732621A (en) | 2018-11-02 |
| CN108732621B CN108732621B (en) | 2020-06-23 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112034514A (en) * | 2020-07-15 | 2020-12-04 | 成都理工大学 | Shale oil-gas system based on seismic sedimentology theory and identification method thereof |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8729903B2 (en) * | 2009-11-09 | 2014-05-20 | Exxonmobil Upstream Research Company | Method for remote identification and characterization of hydrocarbon source rocks using seismic and electromagnetic geophysical data |
| CN105334546A (en) * | 2015-09-23 | 2016-02-17 | 中国石油大学(华东) | Simulated experiment testing method of gas hydrate in porous medium |
| CN106526669A (en) * | 2016-09-19 | 2017-03-22 | 中国石油化工股份有限公司 | Shale oil and gas reservoir seismic reservoir prediction method |
| CN107356966A (en) * | 2017-07-20 | 2017-11-17 | 中国石油化工股份有限公司 | Based on removing compaction deep layer river channel sand gas-oil detecting method |
-
2018
- 2018-03-19 CN CN201810223045.3A patent/CN108732621B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8729903B2 (en) * | 2009-11-09 | 2014-05-20 | Exxonmobil Upstream Research Company | Method for remote identification and characterization of hydrocarbon source rocks using seismic and electromagnetic geophysical data |
| CN105334546A (en) * | 2015-09-23 | 2016-02-17 | 中国石油大学(华东) | Simulated experiment testing method of gas hydrate in porous medium |
| CN106526669A (en) * | 2016-09-19 | 2017-03-22 | 中国石油化工股份有限公司 | Shale oil and gas reservoir seismic reservoir prediction method |
| CN107356966A (en) * | 2017-07-20 | 2017-11-17 | 中国石油化工股份有限公司 | Based on removing compaction deep layer river channel sand gas-oil detecting method |
Non-Patent Citations (1)
| Title |
|---|
| KILLIAN C. IKWUAKOR 等: "Comments on ‘Resistivity-velocity transforms revisited’", 《THE LEADING EDGE》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112034514A (en) * | 2020-07-15 | 2020-12-04 | 成都理工大学 | Shale oil-gas system based on seismic sedimentology theory and identification method thereof |
| CN112034514B (en) * | 2020-07-15 | 2021-09-14 | 成都理工大学 | Shale oil-gas system based on seismic sedimentology theory and identification method thereof |
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| CN108732621B (en) | 2020-06-23 |
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