CN111441766B - Hierarchical gas test unobstructed flow prediction method - Google Patents
Hierarchical gas test unobstructed flow prediction method Download PDFInfo
- Publication number
- CN111441766B CN111441766B CN202010375534.8A CN202010375534A CN111441766B CN 111441766 B CN111441766 B CN 111441766B CN 202010375534 A CN202010375534 A CN 202010375534A CN 111441766 B CN111441766 B CN 111441766B
- Authority
- CN
- China
- Prior art keywords
- gas
- testing
- layer
- test
- reservoir
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012360 testing method Methods 0.000 title claims abstract description 387
- 238000000034 method Methods 0.000 title claims abstract description 41
- 239000002356 single layer Substances 0.000 claims abstract description 266
- 239000010410 layer Substances 0.000 claims abstract description 115
- 230000000704 physical effect Effects 0.000 claims abstract description 91
- 238000004519 manufacturing process Methods 0.000 claims abstract description 62
- 238000011156 evaluation Methods 0.000 claims abstract description 29
- 230000009466 transformation Effects 0.000 claims abstract description 12
- 238000012937 correction Methods 0.000 claims description 18
- 230000035699 permeability Effects 0.000 claims description 17
- 230000000903 blocking effect Effects 0.000 claims description 13
- 238000010219 correlation analysis Methods 0.000 claims description 8
- 238000011160 research Methods 0.000 claims description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 5
- 239000007789 gas Substances 0.000 description 271
- 238000011161 development Methods 0.000 description 10
- 238000005457 optimization Methods 0.000 description 7
- 230000008901 benefit Effects 0.000 description 5
- 230000007547 defect Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 5
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 238000010606 normalization Methods 0.000 description 3
- 230000001186 cumulative effect Effects 0.000 description 2
- 238000005553 drilling Methods 0.000 description 2
- 238000004836 empirical method Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000011031 large-scale manufacturing process Methods 0.000 description 1
- 239000003345 natural gas Substances 0.000 description 1
- 238000002407 reforming Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 238000011426 transformation method Methods 0.000 description 1
Images
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
Landscapes
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Mining & Mineral Resources (AREA)
- Geology (AREA)
- Physics & Mathematics (AREA)
- Geochemistry & Mineralogy (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Business, Economics & Management (AREA)
- Fluid Mechanics (AREA)
- Environmental & Geological Engineering (AREA)
- Primary Health Care (AREA)
- General Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Health & Medical Sciences (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Geophysics (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- Marine Sciences & Fisheries (AREA)
- Animal Husbandry (AREA)
- Agronomy & Crop Science (AREA)
- Measuring Volume Flow (AREA)
Abstract
The invention discloses a layered gas test unobstructed flow prediction method, which comprises the following steps: step 1) selecting reservoir physical property influence factors which influence the gas well test gas unimpeded flow; step 2) establishing a single-layer gas-testing unobstructed flow prediction model according to reservoir physical property influence factors, and the layered gas-testing results of the exploratory well and the evaluation well; step 3) verifying the established single-layer gas-testing unobstructed flow prediction model through gas well gas production profile test, and correcting physical property influence factors of related reservoirs; step 4) establishing single-layer air test unobstructed flow prediction models of different blocks or different horizons according to the step 2) and the step 3); and 5) predicting single-layer gas-testing unimpeded flow of different layers according to the single-layer gas-testing unimpeded flow prediction model of different blocks or different layers obtained in the step 4), and determining a gas well transformation layer and a gas-testing mode according to the single-layer gas-testing unimpeded flow by inputting physical property influence factors of a non-tested gas well reservoir.
Description
Technical Field
The invention belongs to the technical field of natural gas exploitation, and particularly relates to a layered gas test unobstructed flow prediction method.
Background
Along with the large-scale production of the existing gas zone, the drilling workload is large, under the current situation that the production capacity of a gas well is fully required to be exerted, the task of drilling and testing gas is heavy, how to quickly quantify the testing gas and the development potential of each gas layer section, and the targeted perforation transformation and gas testing suggestion are provided. The current gas test mode mainly comprises the following steps: 1. single-layer gas testing for exploratory wells, evaluation wells, and a few development wells; 2. for a development well, a high-quality effective reservoir is preferably selected, a laminated gas testing method is adopted, and a personal experience method is adopted for both gas testing transformation methods.
The traditional personal experience method is to analyze reservoir parameters by comparing with a logging blueprint, organize related technical personnel to discuss and determine a dominant layer, and has the defects of low efficiency, incapability of quantitatively describing and no standard and can be circulated. Secondly, single-layer gas testing mainly aims at evaluating and non-scale new production areas, and potential development needs to be realized layer by layer, and has the advantages of accurate single-layer data and high reliability, and has the disadvantages of high process cost, long operation time and great consumption of manpower, material resources and financial resources; the production potential of the gas well can be comprehensively reflected by the layer-closing gas test, the measure time is short compared with the single-layer gas test time period, but the single-layer development potential cannot be quantified, and in the gas field production, the single-layer productivity evaluation guiding effect is not outstanding.
In summary, the gas well reforming and gas testing mode involves interval optimization and single-layer capacity evaluation, but the gas testing interval optimization and single-layer gas testing unobstructed flow prediction do not form a set of systematic, rapid and effective optimization methods.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a layering gas test unobstructed flow prediction method, which overcomes the defects in the prior art 1: the traditional personal experience method is to analyze reservoir parameters by contrasting a logging blueprint, organize related technical staff to discuss and determine an advantage layer, and has the defects of lower efficiency, incapability of quantitatively describing and no standard and can be circulated; 2: the single-layer gas test is mainly aimed at evaluating and not building a new area on a large scale, and has the defects of high process cost, long operation time and great consumption of manpower, material resources and financial resources; 3: the production potential of the gas well can be comprehensively reflected by the layer-closing gas test, the measure time is short compared with the single-layer gas test time period, but the single-layer development potential cannot be quantified, and the single-layer productivity evaluation guiding effect is not outstanding in the gas field production.
In order to solve the technical problems, the technical scheme of the invention is as follows: a hierarchical air test unobstructed flow prediction method comprises the following steps:
step 1) selecting reservoir physical property influence factors which influence the gas well test gas unimpeded flow;
step 2) determining a relation between the single-layer gas-testing unimpeded flow and the physical property influence factors of the reservoir according to the physical property influence factors of the reservoir, and layered gas-testing results of the exploratory well and the evaluation well, and establishing a single-layer gas-testing unimpeded flow prediction model;
step 3) verifying the established single-layer gas-testing unobstructed flow prediction model through gas well gas production profile test, correcting the single-layer gas-testing unobstructed flow prediction model into a single-layer gas-testing unobstructed flow prediction model under the condition of laminated gas testing through correction of relevant reservoir physical property influence factors, and increasing the fitting degree of the single-layer gas-testing unobstructed flow prediction model;
step 4) establishing single-layer air test unobstructed flow prediction models of different blocks or different horizons according to the step 2) and the step 3);
and 5) predicting single-layer gas-testing unimpeded flow of different layers according to the single-layer gas-testing unimpeded flow prediction model of different blocks or different layers obtained in the step 4), and determining a gas well transformation layer and a gas-testing mode according to the single-layer gas-testing unimpeded flow by inputting physical property influence factors of a non-tested gas well reservoir.
Preferably, a layered gas-testing unobstructed flow prediction method comprises the following steps:
step 1) selecting reservoir physical property influence factors which influence the gas well test gas unimpeded flow;
step 2) determining a relation between the single-layer gas-testing unimpeded flow and the physical property influence factors of the reservoir according to the physical property influence factors of the reservoir, and layered gas-testing results of the exploratory well and the evaluation well, and establishing a single-layer gas-testing unimpeded flow prediction model;
step 3) verifying the established single-layer gas-testing unobstructed flow prediction model through gas well gas production profile test, correcting the single-layer gas-testing unobstructed flow prediction model into a single-layer gas-testing unobstructed flow prediction model under the condition of laminated gas testing through correction of relevant reservoir physical property influence factors, and increasing the fitting degree of the single-layer gas-testing unobstructed flow prediction model;
step 4) establishing single-layer air test unobstructed flow prediction models of different blocks or different horizons according to the step 2) and the step 3);
step 5) according to the single-layer gas-testing unobstructed flow prediction model of the different blocks or the different layers obtained in the step 4), calculating single-layer gas-testing unobstructed flow prediction values of the different layers, and splitting the single-layer gas-testing unobstructed flow of the combined gas well according to the ratio of the single-layer gas-testing unobstructed flow prediction values among the different layers to obtain the actual value of each single-layer gas-testing unobstructed flow.
Preferably, the step 1) is based on gas-water identification, and the reservoir physical property influence factor influencing the gas well test gas unimpeded flow is obtained through reservoir physical property influence factor correlation analysis through reservoir physical property research, wherein the reservoir physical property influence factor is the effective thickness, the porosity, the permeability and the gas saturation of the reservoir.
Preferably, the single-layer gas-test unobstructed flow prediction model in the step 2) is as follows:
Qaof=a*H+b*φ+c*K+d*Sg+e
wherein:
qaof-monolayer gas flow resistance;
a-effective thickness weight coefficient of the reservoir;
b-a porosity weighting coefficient;
c-permeability weight coefficient;
d-a gas saturation weight coefficient;
e-constants;
h-reservoir effective thickness, m;
phi-porosity,%;
k-permeability, md;
sg-saturation with gas,%.
Preferably, the effective thickness weight coefficient, the porosity weight coefficient, the permeability weight coefficient and the gas saturation weight coefficient of the reservoir are obtained by fitting a fitting template according to single-layer gas-testing unobstructed flow data of the layering gas testing results of the exploratory well and the evaluation well and the effective thickness, the porosity, the permeability and the gas saturation of the reservoir.
Preferably, the correction of the relevant reservoir physical property influence factor in the step 3) is as follows: and correcting the single-layer gas-production-section resistance flow prediction model according to the test result of the contribution rate of each single-layer gas-production section of the gas well by adopting the horizon coefficient f and the constant e, so that the sum of the single-layer gas-production resistance flows is equal to the combined-layer gas-production, and the ratio of the single-layer gas-production-section resistance flows is the same as the ratio of the contribution rate of each single-layer gas-production section.
Preferably, the correcting by using the horizon factor f and the constant e is as follows: the application of single-layer prediction of the single-layer gas-testing unobstructed flow prediction model under the condition of single-layer gas testing to laminated gas testing is realized by integrally assigning a horizon coefficient f to the single-layer gas-testing unobstructed flow prediction model, namely, the sum of the unobstructed flow of each single-layer gas testing is equal to the laminated gas testing; the sum of the unimpeded flow rates of the single-layer gas test is equal to the combined-layer gas test by fine adjustment of the constant e of the unimpeded flow rate prediction model of the single-layer gas test, and the ratio of the unimpeded flow rates of the single-layer gas test is the same as the contribution ratio of the gas production sections of the single-layer gas production sections, wherein the corrected unimpeded flow rate prediction model of the single-layer gas test is as follows:
Qaof=f（a*H+b*φ+c*K+d*Sg+e*g）
wherein:
qaof-monolayer gas flow resistance;
a-effective thickness weight coefficient of the reservoir;
b-a porosity weighting coefficient;
c-permeability weight coefficient;
d-a gas saturation weight coefficient;
e-constants;
f-horizon coefficients;
g-fine adjustment coefficient of constant e;
h-reservoir effective thickness, m;
phi-porosity,%;
k-permeability, md;
sg-saturation with gas,%.
Preferably, in the step 4), through correlation analysis of physical property influence factors of reservoirs in different blocks or different layers, single-layer gas test unobstructed flow prediction models in different blocks or different layers are established, and single-layer gas test unobstructed flow prediction models in different blocks or different layers are established according to the gas production profile contribution rate of gas well gas production profile tests in different blocks or different layers under the condition of combined-layer gas test.
Preferably, in the step 5), when the single-layer gas-testing unimpeded flow is greater than 4 square meters per day, the layer is provided with perforation gas-testing conditions, and then the modified layer is selected for laminated gas-testing, and when the single-layer gas-testing unimpeded flow is less than 4 square meters per day, the layer is not provided with perforation gas-testing conditions, and is not selected as the modified layer.
Compared with the prior art, the invention has the advantages that:
(1) According to the invention, the existing exploratory well and evaluation well layered gas testing results are combined with reservoir physical property influence factors to conduct research, a prediction model for predicting the unimpeded flow of each layer of gas testing is established, and the gas well to be modified is guided to conduct layer searching optimization, so that the transformation from qualitative layer selecting to quantitative layer selecting of an empirical method in the traditional sense is realized, the interference of human factors is greatly reduced, a method for optimizing and modifying different layer positions of a gas field (block) can be formed, the measure modification layer can be quantitatively determined, meanwhile, the unimpeded flow of single layer gas testing is predicted, the single layer gas production capacity evaluation is supported, a large amount of manpower and financial resources can be saved, and meanwhile, the method has good guiding and reference significance for different types of oil and gas fields, and has very wide practical and economic values;
(2) According to the method, reservoir physical property influence factors are reservoir effective thickness, porosity, permeability and gas saturation, a single-layer gas-testing unobstructed flow prediction model is built through the relation between single-layer gas-testing unobstructed flow and reservoir physical property influence factors, then the built single-layer gas-testing unobstructed flow prediction model is verified and corrected through gas well gas production profile test, the single-layer gas-testing unobstructed flow prediction model is corrected to be a single-layer gas-testing unobstructed flow prediction model under the condition of laminated gas testing, fitting degree of the single-layer gas-testing unobstructed flow prediction model is increased, and prediction accuracy is greatly improved;
(3) The invention provides a matured, quick and relatively quantitative layered unimpeded flow prediction method under the combined layer gas test condition, which provides technical support for single-layer gas test unimpeded flow prediction and gas test reconstruction horizon optimization of a gas well, can provide key data support for development potential evaluation of a developed horizon, improves gas reservoir development effect, and has the advantages of simple prediction method, easily obtained prediction using parameters, short prediction time, low cost and more accurate prediction data.
Drawings
FIG. 1 is a multi-parameter fitting chart of the unobstructed flow rate of the 8-layer test gas and the physical property influence factor of the reservoir in the embodiment 6 of the invention;
FIG. 2 is a multi-parameter fitting chart of the unimpeded flow rate of the 22-layer test gas and the physical property influence factor of the reservoir in the embodiment 6 of the invention;
FIG. 3 is a multi-parameter fitting chart of the unobstructed flow rate of the Taiyuan layer test gas and the reservoir physical property influence factor in the embodiment 6 of the invention;
fig. 4 is a gas production profile test chart of a gas well of a certain gas field according to embodiment 6 of the present invention.
Detailed Description
The following describes specific embodiments of the present invention with reference to examples:
it should be noted that the structures, proportions, sizes and the like illustrated in the present specification are used for being understood and read by those skilled in the art in combination with the disclosure of the present invention, and are not intended to limit the applicable limitations of the present invention, and any structural modifications, proportional changes or size adjustments should still fall within the scope of the disclosure of the present invention without affecting the efficacy and achievement of the present invention.
Also, the terms such as "upper," "lower," "left," "right," "middle," and "a" and the like recited in the present specification are merely for descriptive purposes and are not intended to limit the scope of the invention, but are intended to provide relative positional changes or modifications without materially altering the technical context in which the invention may be practiced.
The invention relates to a exploratory well and an evaluation well layering gas testing result, a gas well gas production profile test, a fitting template and a normalization method, which are all in the prior art.
Example 1
The invention discloses a layered gas test unobstructed flow prediction method, which comprises the following steps:
step 1) selecting reservoir physical property influence factors which influence the gas well test gas unimpeded flow;
step 2) determining a relation between the single-layer gas-testing unimpeded flow and the physical property influence factors of the reservoir according to the physical property influence factors of the reservoir, and layered gas-testing results of the exploratory well and the evaluation well, and establishing a single-layer gas-testing unimpeded flow prediction model;
step 3) verifying the established single-layer gas-testing unobstructed flow prediction model through gas well gas production profile test, correcting the single-layer gas-testing unobstructed flow prediction model into a single-layer gas-testing unobstructed flow prediction model under the condition of laminated gas testing through correction of relevant reservoir physical property influence factors, and increasing the fitting degree of the single-layer gas-testing unobstructed flow prediction model;
step 4) establishing single-layer air test unobstructed flow prediction models of different blocks or different horizons according to the step 2) and the step 3);
and 5) predicting single-layer gas-testing unimpeded flow of different layers according to the single-layer gas-testing unimpeded flow prediction model of different blocks or different layers obtained in the step 4), and determining a gas well transformation layer and a gas-testing mode according to the single-layer gas-testing unimpeded flow by inputting physical property influence factors of a non-tested gas well reservoir.
Example 2
The invention discloses a layered gas test unobstructed flow prediction method, which comprises the following steps:
step 1) selecting reservoir physical property influence factors which influence the gas well test gas unimpeded flow;
step 2) determining a relation between the single-layer gas-testing unimpeded flow and the physical property influence factors of the reservoir according to the physical property influence factors of the reservoir, and layered gas-testing results of the exploratory well and the evaluation well, and establishing a single-layer gas-testing unimpeded flow prediction model;
step 3) verifying the established single-layer gas-testing unobstructed flow prediction model through gas well gas production profile test, correcting the single-layer gas-testing unobstructed flow prediction model into a single-layer gas-testing unobstructed flow prediction model under the condition of laminated gas testing through correction of relevant reservoir physical property influence factors, and increasing the fitting degree of the single-layer gas-testing unobstructed flow prediction model;
step 4) establishing single-layer air test unobstructed flow prediction models of different blocks or different horizons according to the step 2) and the step 3);
step 5) according to the single-layer gas-testing unobstructed flow prediction model of the different blocks or the different layers obtained in the step 4), calculating single-layer gas-testing unobstructed flow prediction values of the different layers, and splitting the single-layer gas-testing unobstructed flow of the combined gas well according to the ratio of the single-layer gas-testing unobstructed flow prediction values among the different layers to obtain the actual value of each single-layer gas-testing unobstructed flow.
Example 3
The invention discloses a layered gas test unobstructed flow prediction method, which comprises the following steps:
step 1) selecting reservoir physical property influence factors which influence the gas well test gas unimpeded flow;
step 2) determining a relation between the single-layer gas-testing unimpeded flow and the physical property influence factors of the reservoir according to the physical property influence factors of the reservoir, and layered gas-testing results of the exploratory well and the evaluation well, and establishing a single-layer gas-testing unimpeded flow prediction model;
step 3) verifying the established single-layer gas-testing unobstructed flow prediction model through gas well gas production profile test, correcting the single-layer gas-testing unobstructed flow prediction model into a single-layer gas-testing unobstructed flow prediction model under the condition of laminated gas testing through correction of relevant reservoir physical property influence factors, and increasing the fitting degree of the single-layer gas-testing unobstructed flow prediction model;
step 4) establishing single-layer air test unobstructed flow prediction models of different blocks or different horizons according to the step 2) and the step 3);
and 5) predicting single-layer gas-testing unimpeded flow of different layers according to the single-layer gas-testing unimpeded flow prediction model of different blocks or different layers obtained in the step 4), and determining a gas well transformation layer and a gas-testing mode according to the single-layer gas-testing unimpeded flow by inputting physical property influence factors of a non-tested gas well reservoir.
The invention discloses a layered gas test unobstructed flow prediction method, which comprises the following steps:
step 1) selecting reservoir physical property influence factors which influence the gas well test gas unimpeded flow;
step 2) determining a relation between the single-layer gas-testing unimpeded flow and the physical property influence factors of the reservoir according to the physical property influence factors of the reservoir, and layered gas-testing results of the exploratory well and the evaluation well, and establishing a single-layer gas-testing unimpeded flow prediction model;
step 3) verifying the established single-layer gas-testing unobstructed flow prediction model through gas well gas production profile test, correcting the single-layer gas-testing unobstructed flow prediction model into a single-layer gas-testing unobstructed flow prediction model under the condition of laminated gas testing through correction of relevant reservoir physical property influence factors, and increasing the fitting degree of the single-layer gas-testing unobstructed flow prediction model;
step 4) establishing single-layer air test unobstructed flow prediction models of different blocks or different horizons according to the step 2) and the step 3);
step 5) according to the single-layer gas-testing unobstructed flow prediction model of the different blocks or the different layers obtained in the step 4), calculating single-layer gas-testing unobstructed flow prediction values of the different layers, and splitting the single-layer gas-testing unobstructed flow of the combined gas well according to the ratio of the single-layer gas-testing unobstructed flow prediction values among the different layers to obtain the actual value of each single-layer gas-testing unobstructed flow.
Preferably, the step 1) is based on gas-water identification, and the reservoir physical property influence factor influencing the gas well test gas unimpeded flow is obtained through reservoir physical property influence factor correlation analysis through reservoir physical property research, wherein the reservoir physical property influence factor is the effective thickness, the porosity, the permeability and the gas saturation of the reservoir.
Preferably, the single-layer gas-test unobstructed flow prediction model in the step 2) is as follows:
Q aof =a*H+b*φ+c*K+d*Sg+e
wherein:
Q aof -single layer of test gas flow resistance;
a-effective thickness weight coefficient of the reservoir;
b-a porosity weighting coefficient;
c-permeability weight coefficient;
d-a gas saturation weight coefficient;
e-constants;
h-reservoir effective thickness, m;
phi-porosity,%;
k-permeability, md;
sg-saturation with gas,%.
Example 4
The invention discloses a layered gas test unobstructed flow prediction method, which comprises the following steps:
step 1) selecting reservoir physical property influence factors which influence the gas well test gas unimpeded flow;
step 2) determining a relation between the single-layer gas-testing unimpeded flow and the physical property influence factors of the reservoir according to the physical property influence factors of the reservoir, and layered gas-testing results of the exploratory well and the evaluation well, and establishing a single-layer gas-testing unimpeded flow prediction model;
step 3) verifying the established single-layer gas-testing unobstructed flow prediction model through gas well gas production profile test, correcting the single-layer gas-testing unobstructed flow prediction model into a single-layer gas-testing unobstructed flow prediction model under the condition of laminated gas testing through correction of relevant reservoir physical property influence factors, and increasing the fitting degree of the single-layer gas-testing unobstructed flow prediction model;
step 4) establishing single-layer air test unobstructed flow prediction models of different blocks or different horizons according to the step 2) and the step 3);
and 5) predicting single-layer gas-testing unimpeded flow of different layers according to the single-layer gas-testing unimpeded flow prediction model of different blocks or different layers obtained in the step 4), and determining a gas well transformation layer and a gas-testing mode according to the single-layer gas-testing unimpeded flow by inputting physical property influence factors of a non-tested gas well reservoir.
The invention discloses a layered gas test unobstructed flow prediction method, which comprises the following steps:
step 1) selecting reservoir physical property influence factors which influence the gas well test gas unimpeded flow;
step 2) determining a relation between the single-layer gas-testing unimpeded flow and the physical property influence factors of the reservoir according to the physical property influence factors of the reservoir, and layered gas-testing results of the exploratory well and the evaluation well, and establishing a single-layer gas-testing unimpeded flow prediction model;
step 3) verifying the established single-layer gas-testing unobstructed flow prediction model through gas well gas production profile test, correcting the single-layer gas-testing unobstructed flow prediction model into a single-layer gas-testing unobstructed flow prediction model under the condition of laminated gas testing through correction of relevant reservoir physical property influence factors, and increasing the fitting degree of the single-layer gas-testing unobstructed flow prediction model;
step 4) establishing single-layer air test unobstructed flow prediction models of different blocks or different horizons according to the step 2) and the step 3);
step 5) according to the single-layer gas-testing unobstructed flow prediction model of the different blocks or the different layers obtained in the step 4), calculating single-layer gas-testing unobstructed flow prediction values of the different layers, and splitting the single-layer gas-testing unobstructed flow of the combined gas well according to the ratio of the single-layer gas-testing unobstructed flow prediction values among the different layers to obtain the actual value of each single-layer gas-testing unobstructed flow.
Preferably, the step 1) is based on gas-water identification, and the reservoir physical property influence factor influencing the gas well test gas unimpeded flow is obtained through reservoir physical property influence factor correlation analysis through reservoir physical property research, wherein the reservoir physical property influence factor is the effective thickness, the porosity, the permeability and the gas saturation of the reservoir.
Preferably, the single-layer gas-test unobstructed flow prediction model in the step 2) is as follows:
Q aof =a*H+b*φ+c*K+d*Sg+e
wherein:
Q aof -single layer of test gas flow resistance;
a-effective thickness weight coefficient of the reservoir;
b-a porosity weighting coefficient;
c-permeability weight coefficient;
d-a gas saturation weight coefficient;
e-constants;
h-reservoir effective thickness, m;
phi-porosity,%;
k-permeability, md;
sg-saturation with gas,%.
Preferably, the effective thickness weight coefficient, the porosity weight coefficient, the permeability weight coefficient and the gas saturation weight coefficient of the reservoir are obtained by fitting a fitting template according to single-layer gas-testing unobstructed flow data of the layering gas testing results of the exploratory well and the evaluation well and the effective thickness, the porosity, the permeability and the gas saturation of the reservoir.
Preferably, the correction of the relevant reservoir physical property influence factor in the step 3) is as follows: and correcting the single-layer gas-production-section resistance flow prediction model according to the test result of the contribution rate of each single-layer gas-production section of the gas well by adopting the horizon coefficient f and the constant e, so that the sum of the single-layer gas-production resistance flows is equal to the combined-layer gas-production, and the ratio of the single-layer gas-production-section resistance flows is the same as the ratio of the contribution rate of each single-layer gas-production section.
Preferably, the correcting by using the horizon factor f and the constant e is as follows: the application of single-layer prediction of the single-layer gas-testing unobstructed flow prediction model under the condition of single-layer gas testing to laminated gas testing is realized by integrally assigning a horizon coefficient f to the single-layer gas-testing unobstructed flow prediction model, namely, the sum of the unobstructed flow of each single-layer gas testing is equal to the laminated gas testing; the sum of the unimpeded flow rates of the single-layer gas test is equal to the combined-layer gas test by fine adjustment of the constant e of the unimpeded flow rate prediction model of the single-layer gas test, and the ratio of the unimpeded flow rates of the single-layer gas test is the same as the contribution ratio of the gas production sections of the single-layer gas production sections, wherein the corrected unimpeded flow rate prediction model of the single-layer gas test is as follows:
Q aof =f（a*H+b*φ+c*K+d*Sg+e*g）
wherein:
Q aof -single layer of test gas flow resistance;
a-effective thickness weight coefficient of the reservoir;
b-a porosity weighting coefficient;
c-permeability weight coefficient;
d-a gas saturation weight coefficient;
e-constants;
f-horizon coefficients;
g-fine adjustment coefficient of constant e;
h-reservoir effective thickness, m;
phi-porosity,%;
k-permeability, md;
sg-saturation with gas,%.
Example 5
The invention discloses a layered gas test unobstructed flow prediction method, which comprises the following steps:
step 1) selecting reservoir physical property influence factors which influence the gas well test gas unimpeded flow;
step 2) determining a relation between the single-layer gas-testing unimpeded flow and the physical property influence factors of the reservoir according to the physical property influence factors of the reservoir, and layered gas-testing results of the exploratory well and the evaluation well, and establishing a single-layer gas-testing unimpeded flow prediction model;
step 3) verifying the established single-layer gas-testing unobstructed flow prediction model through gas well gas production profile test, correcting the single-layer gas-testing unobstructed flow prediction model into a single-layer gas-testing unobstructed flow prediction model under the condition of laminated gas testing through correction of relevant reservoir physical property influence factors, and increasing the fitting degree of the single-layer gas-testing unobstructed flow prediction model;
step 4) establishing single-layer air test unobstructed flow prediction models of different blocks or different horizons according to the step 2) and the step 3);
and 5) predicting single-layer gas-testing unimpeded flow of different layers according to the single-layer gas-testing unimpeded flow prediction model of different blocks or different layers obtained in the step 4), and determining a gas well transformation layer and a gas-testing mode according to the single-layer gas-testing unimpeded flow by inputting physical property influence factors of a non-tested gas well reservoir.
The invention discloses a layered gas test unobstructed flow prediction method, which comprises the following steps:
step 1) selecting reservoir physical property influence factors which influence the gas well test gas unimpeded flow;
step 2) determining a relation between the single-layer gas-testing unimpeded flow and the physical property influence factors of the reservoir according to the physical property influence factors of the reservoir, and layered gas-testing results of the exploratory well and the evaluation well, and establishing a single-layer gas-testing unimpeded flow prediction model;
step 3) verifying the established single-layer gas-testing unobstructed flow prediction model through gas well gas production profile test, correcting the single-layer gas-testing unobstructed flow prediction model into a single-layer gas-testing unobstructed flow prediction model under the condition of laminated gas testing through correction of relevant reservoir physical property influence factors, and increasing the fitting degree of the single-layer gas-testing unobstructed flow prediction model;
step 4) establishing single-layer air test unobstructed flow prediction models of different blocks or different horizons according to the step 2) and the step 3);
step 5) according to the single-layer gas-testing unobstructed flow prediction model of the different blocks or the different layers obtained in the step 4), calculating single-layer gas-testing unobstructed flow prediction values of the different layers, and splitting the single-layer gas-testing unobstructed flow of the combined gas well according to the ratio of the single-layer gas-testing unobstructed flow prediction values among the different layers to obtain the actual value of each single-layer gas-testing unobstructed flow.
Preferably, the step 1) is based on gas-water identification, and the reservoir physical property influence factor influencing the gas well test gas unimpeded flow is obtained through reservoir physical property influence factor correlation analysis through reservoir physical property research, wherein the reservoir physical property influence factor is the effective thickness, the porosity, the permeability and the gas saturation of the reservoir.
Preferably, the single-layer gas-test unobstructed flow prediction model in the step 2) is as follows:
Q aof =a*H+b*φ+c*K+d*Sg+e
wherein:
Q aof -single layer of test gas flow resistance;
a-effective thickness weight coefficient of the reservoir;
b-a porosity weighting coefficient;
c-permeability weight coefficient;
d-a gas saturation weight coefficient;
e-constants;
h-reservoir effective thickness, m;
phi-porosity,%;
k-permeability, md;
sg-saturation with gas,%.
Preferably, the effective thickness weight coefficient, the porosity weight coefficient, the permeability weight coefficient and the gas saturation weight coefficient of the reservoir are obtained by fitting a fitting template and a normalization method according to single-layer gas-testing unobstructed flow data of the layering gas testing results of the exploratory well and the evaluation well and the effective thickness, the porosity, the permeability and the gas saturation of the reservoir.
Preferably, the correction of the relevant reservoir physical property influence factor in the step 3) is as follows: and correcting the single-layer gas-production-section resistance flow prediction model according to the test result of the contribution rate of each single-layer gas-production section of the gas well by adopting the horizon coefficient f and the constant e, so that the sum of the single-layer gas-production resistance flows is equal to the combined-layer gas-production, and the ratio of the single-layer gas-production-section resistance flows is the same as the ratio of the contribution rate of each single-layer gas-production section.
Preferably, the correcting by using the horizon factor f and the constant e is as follows: the application of single-layer prediction of the single-layer gas-testing unobstructed flow prediction model under the condition of single-layer gas testing to laminated gas testing is realized by integrally assigning a horizon coefficient f to the single-layer gas-testing unobstructed flow prediction model, namely, the sum of the unobstructed flow of each single-layer gas testing is equal to the laminated gas testing; the sum of the unimpeded flow rates of the single-layer gas test is equal to the combined-layer gas test by fine adjustment of the constant e of the unimpeded flow rate prediction model of the single-layer gas test, and the ratio of the unimpeded flow rates of the single-layer gas test is the same as the contribution ratio of the gas production sections of the single-layer gas production sections, wherein the corrected unimpeded flow rate prediction model of the single-layer gas test is as follows:
Q aof =f（a*H+b*φ+c*K+d*Sg+e*g）
wherein:
Q aof -single layer of test gas flow resistance;
a-effective thickness weight coefficient of the reservoir;
b-a porosity weighting coefficient;
c-permeability weight coefficient;
d-a gas saturation weight coefficient;
e-constants;
f-horizon coefficients;
g-fine adjustment coefficient of constant e;
h-reservoir effective thickness, m;
phi-porosity,%;
k-permeability, md;
sg-saturation with gas,%.
Preferably, in the step 4), through correlation analysis of physical property influence factors of reservoirs in different blocks or different layers, single-layer gas test unobstructed flow prediction models in different blocks or different layers are established, and single-layer gas test unobstructed flow prediction models in different blocks or different layers are established according to the gas production profile contribution rate of gas well gas production profile tests in different blocks or different layers under the condition of combined-layer gas test.
Preferably, in the step 5), when the single-layer gas-testing unimpeded flow is greater than 4 square meters per day, the layer is provided with perforation gas-testing conditions, and then the modified layer is selected for laminated gas-testing, and when the single-layer gas-testing unimpeded flow is less than 4 square meters per day, the layer is not provided with perforation gas-testing conditions, and is not selected as the modified layer.
Example 6
Taking a certain gas field box 8, a mountain 22 and a Taiyuan layer as examples
Step 1), selecting reservoir physical property influence factors influencing the gas well test gas unimpeded flow as effective thickness, porosity, permeability and gas saturation of the reservoir;
step 2) firstly, establishing a single-layer gas testing unobstructed flow prediction model of the box 8, the mountain 22 and the Taiyuan according to the exploratory well and the evaluation well layered gas testing result of the box 8, the mountain 22 and the Taiyuan by combining the effective thickness, the porosity, the permeability and the gas saturation of the reservoir and a fitting template: wherein the box 8 layers are: q (Q) aof =0.916×h+1.142×Φ+0.47×k+0.379×sg+1.42, (r2=0.803) (see fig. 1); the mountain 22 layers are: q (Q) aof =0.647×h+4.274×Φ+0.895×k+0.295×sg+4.078, (r2=0.795) (see fig. 2); the Taiyuan layer is: q (Q) aof =1.059×h+1.42×Φ+0.759×k+0.357×sg+2.42, (r2=0.905) ((see fig. 3)); as shown in fig. 1 to 3: the dependent variable is the unimpeded flow, the abscissa is the observed cumulative probability, the ordinate is the expected cumulative probability, and the current fitting template is utilized to obtain the unimpeded flow prediction model of each layer of the gas test through normalization;
step 3) according to the block gas production profile contribution rate test result of the gas well gas production profile test (see figure 4) of a certain gas field, obtaining the average gas production contribution rate 24.3% of the box 8, the average gas production contribution rate 42.4% of the mountain 22 and the average gas production contribution rate 33.1% of the Taiyuan, aiming at the gas well, according to the gas production profile test, Q Box 8 ：Q Mountain 22 ：Q Taiyuan (Taiyuan) On the basis of not changing the unobstructed flow prediction model of each layer of test gas, a two-step method is adopted to correct the laminated formula of the method: firstly, by integrally assigning a horizon coefficient f to a single-layer gas-testing unobstructed flow prediction model, the single-layer prediction application of the single-layer gas-testing unobstructed flow prediction model under the condition of single-layer gas-testing to laminated gas-testing is realized, namely Q Box 8 +Q Mountain 22 +Q Taiyuan (Taiyuan) =Q Fitting test The method comprises the steps of carrying out a first treatment on the surface of the Secondly, the constant e of the single-layer gas-test unobstructed flow prediction model is finely adjusted, namely Q is realized Box 8 +Q Mountain 22 +Q Taiyuan (Taiyuan) =Q Fitting test And Q is Box 8 ：Q Mountain 22 ：Q Taiyuan (Taiyuan) =24.3:42.4:33.1, the final corrected monolayer gas-barrier flow prediction model is:
the box 8 layers are: q (Q) aof =（0.916*h+1.142*φ+0.47*K+0.379*Sg+1.3）*0.65；
The mountain 22 layers are: q (Q) aof =（0.647*h+4.274*φ+0.895*K+0.295*Sg+5.8）*0.65；
The Taiyuan layer is: q (Q) aof =（1.059*h+1.42*φ+0.759*K+0.357*Sg+2.5）*0.65。
Step 4) establishing single-layer air-test non-resistance flow prediction models of different blocks or different horizons according to the step 2) and the step 3), wherein the establishment and correction of the single-layer air-test non-resistance flow prediction models of three horizons (a box 8, a mountain 22 and a Taiyuan layer) are completed before;
taking a well A of a certain gas field as an example, planning to perform combined test in 2019, and respectively calculating the non-blocking flow of the single-layer gas test under the condition of combined layer gas test after correction according to a single-layer gas test non-blocking flow prediction model, wherein the layers of the box 8 are Q aof = (0.916 x h+1.142 x phi+0.47 x k+0.379 x sg+1.3) x 0.65 = (0.916 x 6.2+1.142 x 8.8/100+0.57 x 0.043+0.379 x 54.2/100+1.3) x 0.65 = 4.7; the mountain 22 layers are: q (Q) aof = (0.647 x h+4.274 x Φ+0.895 x k+0.295 x sg+5.8) 0.65 = (0.647 x 8.9+4.274 x 8.4/100+0.895 x 0.4075+0.295 x 75.75/100+5.8) 0.65 = 8.2; the Taiyuan layer is: q (Q) aof = (1.059 x h+1.42 x phi+0.759 x k+0.357 x sg+2.5) 0.65 x= (1.059 x 4.7+1.42 x 7.6/100+0.759 x 0.2845+0.357 x 50.5+2.5) x 0.65 = 5.2; because the single-layer test gas unimpeded flow of the box 8, the mountain 22 and the Taiyuan is larger than 4 square meters per day, perforation transformation and layer combination test gas are carried out on the box 8, the mountain 22 and the Taiyuan, the unimpeded flow of the pre-test gas is 18.1 square meters per day, after fracturing transformation, the layer combination test gas obtains the unimpeded flow of 17.4 square meters per day, and the error of the prediction and test results is less than 5 percent, so that the effect reaches the expectations.
Example 7
Taking the well A with the existing combined flow resistance as an example, the combined layer gas testing obtains the flow resistance of 20 square meters per day, the perforation modified layers of the well A are known to be the box 8, the mountain 22 and the Taiyuan layer, and the predicted value obtained by calculation in the embodiment 6 is used, wherein the predicted value of the gas testing flow resistance of the box 8 is 4.7, the predicted value of the gas testing flow resistance of the mountain 22 is 8.2, the predicted value of the gas testing flow resistance of the Taiyuan is 5.2, the combined gas testing flow resistance of the combined gas testing well is split, and the actual value of the gas testing flow resistance of the box 8 is 5.19, the actual value of the mountain 22 is 9.06, and the actual value of the gas testing flow resistance of the Taiyuan is 5.75.
The method comprises the steps of carrying out layering gas testing on a combined gas testing well without flow splitting, realizing layering gas production capacity of the tested gas well, and supporting single-layer potential analysis and evaluation: aiming at the existing combined gas well, in order to evaluate single-layer productivity, the single-layer gas-testing non-blocking flow prediction value is calculated, and splitting is carried out on the combined gas well according to the ratio of the gas-testing non-blocking flows among different layers, so that the actual value of each single-layer gas-testing non-blocking flow is obtained.
According to the invention, the existing exploratory well and evaluation well layered gas testing results are combined with reservoir physical property influence factors to conduct research, a prediction model for predicting the unimpeded flow of each layer of gas testing is established, and the gas well to be modified is guided to conduct layer searching optimization, so that the transformation from qualitative layer selecting to quantitative layer selecting of an empirical method in the traditional sense is realized, the interference of human factors is greatly reduced, a method for optimizing and modifying different layer positions of a gas field (block) can be formed, the measure modification layer can be quantitatively determined, meanwhile, the unimpeded flow of single layer gas testing is predicted, the single layer gas production capacity evaluation is supported, a large amount of manpower and financial resources can be saved, and meanwhile, the method has good guiding and reference significance for different types of oil and gas fields, and has very wide practical and economic values.
According to the method, the reservoir physical property influence factors are the effective thickness, the porosity, the permeability and the gas saturation of the reservoir, the single-layer gas-testing non-blocking flow prediction model is built through the relation between the single-layer gas-testing non-blocking flow and the reservoir physical property influence factors, then the built single-layer gas-testing non-blocking flow prediction model is verified and corrected through gas well gas production profile test, the single-layer gas-testing non-blocking flow prediction model is corrected to be a single-layer gas-testing non-blocking flow prediction model under the condition of laminated gas testing, the fitting degree of the single-layer gas-testing non-blocking flow prediction model is increased, and the prediction accuracy is greatly improved.
The invention provides a matured, quick and relatively quantitative layered unimpeded flow prediction method under the combined layer gas test condition, which provides technical support for single-layer gas test unimpeded flow prediction and gas test reconstruction horizon optimization of a gas well, can provide key data support for development potential evaluation of a developed horizon, improves gas reservoir development effect, and has the advantages of simple prediction method, easily obtained prediction using parameters, short prediction time, low cost and more accurate prediction data.
While the preferred embodiments of the present invention have been described in detail, the present invention is not limited to the above embodiments, and various changes may be made without departing from the spirit of the present invention within the knowledge of those skilled in the art.
Many other changes and modifications may be made without departing from the spirit and scope of the invention. It is to be understood that the invention is not to be limited to the specific embodiments, but only by the scope of the appended claims. The components and structures not specifically described in this embodiment are well known in the art and are not described in detail herein.
Claims (6)
1. The method for predicting the flow of the layering gas test resistance is characterized by comprising the following steps of:
step 1) selecting reservoir physical property influence factors which influence the gas well test gas unimpeded flow;
step 2) determining a relation between the single-layer gas-testing unimpeded flow and the physical property influence factors of the reservoir according to the physical property influence factors of the reservoir, and layered gas-testing results of the exploratory well and the evaluation well, and establishing a single-layer gas-testing unimpeded flow prediction model;
step 3) verifying the established single-layer gas-testing unobstructed flow prediction model through gas well gas production profile test, correcting the single-layer gas-testing unobstructed flow prediction model into a single-layer gas-testing unobstructed flow prediction model under the condition of laminated gas testing through correction of relevant reservoir physical property influence factors, and increasing the fitting degree of the single-layer gas-testing unobstructed flow prediction model;
step 4) establishing single-layer air test unobstructed flow prediction models of different blocks or different horizons according to the step 2) and the step 3);
step 5) according to the single-layer gas-testing unobstructed flow prediction model of different blocks or different layers obtained in the step 4), predicting single-layer gas-testing unobstructed flow of different layers through inputting physical property influence factors of a non-tested gas well reservoir, and determining a gas well transformation layer and a gas-testing mode according to the single-layer gas-testing unobstructed flow;
or: step 5) splitting the single-layer gas-testing unobstructed flow prediction model of different blocks or different layers obtained in the step 4) according to the ratio of the single-layer gas-testing unobstructed flow prediction values among different layers by calculating single-layer gas-testing unobstructed flow prediction values of different layers for the gas well with the existing combined gas-testing unobstructed flow to obtain the actual value of each single-layer gas-testing unobstructed flow;
the correction of the relevant reservoir physical property influence factors in the step 3) is as follows: correcting the single-layer gas-production-section unimpeded flow prediction model according to the test result of the contribution rate of each single-layer gas-production section of the gas well, wherein the sum of the unimpeded flow of each single-layer gas-production is equal to the combined-layer gas-production, and the ratio of the unimpeded flow of each single-layer gas-production section is the same as the contribution rate of each single-layer gas-production section; the correction by using horizon factor f and constant e is: the application of single-layer prediction of the single-layer gas-testing unobstructed flow prediction model under the condition of single-layer gas testing to laminated gas testing is realized by integrally assigning a horizon coefficient f to the single-layer gas-testing unobstructed flow prediction model, namely, the sum of the unobstructed flow of each single-layer gas testing is equal to the laminated gas testing; the sum of the unimpeded flow rates of the single-layer gas test is equal to the combined-layer gas test by fine adjustment of the constant e of the unimpeded flow rate prediction model of the single-layer gas test, and the ratio of the unimpeded flow rates of the single-layer gas test is the same as the contribution ratio of the gas production sections of the single-layer gas production sections, wherein the corrected unimpeded flow rate prediction model of the single-layer gas test is as follows:
Q aof ＝f(a*H+b*φ+c*K+d*Sg+e*g)；
wherein:
Q aof -single layer of test gas flow resistance;
a-effective thickness weight coefficient of the reservoir;
b-a porosity weighting coefficient;
c-permeability weight coefficient;
d-a gas saturation weight coefficient;
e-constants;
f-horizon coefficients;
g-fine adjustment coefficient of constant e;
h-reservoir effective thickness, m;
phi-porosity,%;
k-permeability, md;
sg-saturation with gas,%.
2. The method according to claim 1, wherein the step 1) is based on gas-water identification, and the reservoir physical property influence factors influencing the gas well gas-test flow resistance are obtained through reservoir physical property influence factor correlation analysis through reservoir physical property research, wherein the reservoir physical property influence factors are the effective thickness, the porosity, the permeability and the gas saturation of the reservoir.
3. The method for predicting the flow rate of the stratified test gas without resistance according to claim 2, wherein the single-layer test gas without resistance flow rate prediction model in the step 2) is as follows:
Q aof ＝a*H+b*φ+c*K+d*Sg+e；
wherein:
Q aof -single layer of test gas flow resistance;
a-effective thickness weight coefficient of the reservoir;
b-a porosity weighting coefficient;
c-permeability weight coefficient;
d-a gas saturation weight coefficient;
e-constants;
h-reservoir effective thickness, m;
phi-porosity,%;
k-permeability, md;
sg-saturation with gas,%.
4. The method of claim 3, wherein the reservoir effective thickness weight coefficient, the porosity weight coefficient, the permeability weight coefficient, and the gas saturation weight coefficient are obtained by fitting a fitting template based on single-layer gas-flow-resistance data of the well-exploratory and evaluation well layered gas-testing results and the reservoir effective thickness, the porosity, the permeability, and the gas saturation.
5. The method according to claim 1, wherein the step 4) establishes single-layer gas-testing non-blocking flow prediction models of different blocks or different layers through correlation analysis of physical property influence factors of reservoirs of different blocks or different layers, and establishes single-layer gas-testing non-blocking flow prediction models of different blocks or different layers under the condition of laminated gas testing according to the contribution rate of gas production sections of gas well gas production sections in different blocks or different layers.
6. The method according to claim 1, wherein in the step 5), when the single-layer gas-testing unimpeded flow is greater than 4 square/day, the layer is selected as the modified layer for the combined gas testing, and when the single-layer gas-testing unimpeded flow is less than 4 square/day, the layer is not selected as the modified layer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010375534.8A CN111441766B (en) | 2020-05-07 | 2020-05-07 | Hierarchical gas test unobstructed flow prediction method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010375534.8A CN111441766B (en) | 2020-05-07 | 2020-05-07 | Hierarchical gas test unobstructed flow prediction method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111441766A CN111441766A (en) | 2020-07-24 |
| CN111441766B true CN111441766B (en) | 2023-05-26 |
Family
ID=71652016
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010375534.8A Active CN111441766B (en) | 2020-05-07 | 2020-05-07 | Hierarchical gas test unobstructed flow prediction method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111441766B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111827993B (en) * | 2020-07-30 | 2023-07-25 | 中国石油天然气股份有限公司 | Non-blocking flow prediction method for gas production well |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101906966A (en) * | 2010-07-16 | 2010-12-08 | 中国石油天然气股份有限公司 | Reservoir production capacity prediction method and device |
| CN102509179A (en) * | 2011-12-26 | 2012-06-20 | 中国石油天然气股份有限公司 | Gas well dynamic capacity prediction method |
| CN103161436A (en) * | 2013-03-13 | 2013-06-19 | 中国石油大学(北京) | Well test interpretation method of horizontal well for thickened oil thermal recovery |
| CN104747144A (en) * | 2015-02-06 | 2015-07-01 | 中国石油天然气股份有限公司 | Geological stratum selection method based on natural gas multilayer system partial pressure solution |
| CN105822298A (en) * | 2016-04-25 | 2016-08-03 | 中石化石油工程技术服务有限公司 | Method for acquiring absolute open flow of shale gas layer based on gas productivity index |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7735579B2 (en) * | 2005-09-12 | 2010-06-15 | Teledrift, Inc. | Measurement while drilling apparatus and method of using the same |
-
2020
- 2020-05-07 CN CN202010375534.8A patent/CN111441766B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101906966A (en) * | 2010-07-16 | 2010-12-08 | 中国石油天然气股份有限公司 | Reservoir production capacity prediction method and device |
| CN102509179A (en) * | 2011-12-26 | 2012-06-20 | 中国石油天然气股份有限公司 | Gas well dynamic capacity prediction method |
| CN103161436A (en) * | 2013-03-13 | 2013-06-19 | 中国石油大学(北京) | Well test interpretation method of horizontal well for thickened oil thermal recovery |
| CN104747144A (en) * | 2015-02-06 | 2015-07-01 | 中国石油天然气股份有限公司 | Geological stratum selection method based on natural gas multilayer system partial pressure solution |
| CN105822298A (en) * | 2016-04-25 | 2016-08-03 | 中石化石油工程技术服务有限公司 | Method for acquiring absolute open flow of shale gas layer based on gas productivity index |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111441766A (en) | 2020-07-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107766662B (en) | Shale gas horizontal well test sectional evaluation method | |
| CN109214026A (en) | Shale gas horizontal well initial-stage productivity prediction method | |
| CN109271755B (en) | A kind of application calculates the method and system of rock strength with brill data | |
| CN104747183A (en) | Carbonate reservoir comprehensive classification method | |
| CN104318109B (en) | Shale Gas Reservoir Identification Method Based on Support Vector Machine | |
| CN104832166A (en) | Initial productivity prediction method of shale gas horizontal well | |
| CN104533400A (en) | Method for reconstructing logging curve | |
| CN107605465A (en) | Based on XRF elements well logging with the method that shale TOC parameters are obtained in brill | |
| CN105089663A (en) | High-angle well/horizontal well formation resistivity anisotropy correcting method | |
| CN108798657B (en) | Logging interpretation method based on drilling fluid logging parameter gas measurement value | |
| CN111927417B (en) | Shale gas sectional fracturing horizontal well group reserve utilization condition evaluation method | |
| CN115860266B (en) | Shale gas/coal bed gas well productivity evaluation method, system and electronic equipment | |
| CN111441766B (en) | Hierarchical gas test unobstructed flow prediction method | |
| CN115586086A (en) | Borehole wall instability analysis method based on big data | |
| CN114066084B (en) | Method and system for predicting phase permeation curve based on machine learning | |
| CN110988997A (en) | Hydrocarbon source rock three-dimensional space distribution quantitative prediction technology based on machine learning | |
| CN111335871B (en) | Layering hole checking and supplementing technical method based on layering productivity evaluation | |
| CN113216945B (en) | Quantitative evaluation method for permeability of tight sandstone reservoir | |
| CN117345224A (en) | Deep-structure complex-area coalbed methane geological dessert area selection method | |
| CN117744362A (en) | Quantitative evaluation method, system, equipment and terminal for fracturing property of tight sandstone reservoir | |
| CN102900432A (en) | Method for evaluating reservoir by calculating logging porosity while drilling through data during micro-drilling | |
| CN104632206B (en) | Method and device for determining petroleum logging standard layer | |
| CN114021821B (en) | Gas reservoir recovery ratio prediction method based on multiple regression | |
| CN115907524A (en) | Method for quantitatively evaluating shale gas storage conditions | |
| CN111827967B (en) | Oil and gas reservoir analysis method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |