CN107701179B - Conventional logging data-based compressibility evaluation method for shale gas reservoir - Google Patents
Conventional logging data-based compressibility evaluation method for shale gas reservoir Download PDFInfo
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- 238000011156 evaluation Methods 0.000 title claims abstract description 44
- 238000000034 method Methods 0.000 claims abstract description 11
- 229910052770 Uranium Inorganic materials 0.000 claims abstract description 7
- JFALSRSLKYAFGM-UHFFFAOYSA-N uranium(0) Chemical compound [U] JFALSRSLKYAFGM-UHFFFAOYSA-N 0.000 claims abstract description 7
- 238000013178 mathematical model Methods 0.000 claims abstract description 5
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 6
- 230000015572 biosynthetic process Effects 0.000 claims description 4
- 239000004215 Carbon black (E152) Substances 0.000 claims description 3
- 238000005553 drilling Methods 0.000 claims description 3
- 229930195733 hydrocarbon Natural products 0.000 claims description 3
- 150000002430 hydrocarbons Chemical class 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000010276 construction Methods 0.000 abstract description 2
- 238000013461 design Methods 0.000 abstract description 2
- 239000000571 coke Substances 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000013210 evaluation model Methods 0.000 description 1
- 238000011158 quantitative evaluation Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
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- 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
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- 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
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Abstract
The invention relates to a shale stratum compressibility evaluation method based on conventional logging information, which comprises the steps of collecting logging information of a well to be tested, wherein the logging information comprises natural gamma, uranium-removed natural gamma, density and the like; distinguishing intervals of mudstone and shale by natural gamma GR and natural gamma KTH for removing uranium; normalizing the collected parameters; establishing a shale gas reservoir compressibility mathematical model according to the parameters; verifying the reliability of the model and optimizing stratum parameters by combining all the data; and judging whether the evaluation standard of the compressibility of the shale gas reservoir in the work area is established or not, entering the next step after the establishment, and entering the next step after the evaluation standard of the compressibility of the shale gas reservoir is not established according to the existing work area data. And quantitatively characterizing the compressibility of the reservoir according to the calculated BI value: and outputting an evaluation result. The fracturing method has been applied to Fuling shale gas fields and Yichang areas, effectively guides the fracturing construction design of horizontal wells, improves the fracturing efficiency and achieves the purposes of increasing production and creating efficiency.
Description
Technical Field
The invention belongs to the field of unconventional oil and gas reservoir compressibility evaluation, and particularly relates to a shale formation compressibility evaluation method based on conventional logging information.
Background
Shale gas belongs to a low-porosity, low-permeability and ultra-low-permeability reservoir, and more than 90 percent of shale gas wells can be commercially exploited only by fracturing modification. Therefore, in order to obtain a good reservoir fracturing modification effect and avoid blind fracturing, the compressibility of the shale gas reservoir must be scientifically evaluated.
The compressibility evaluation methods mainly include an experimental evaluation method and a coefficient evaluation method. The experimental evaluation method is a method for performing simulation experiments by using a stratum core, has low accuracy for shale strata with strong heterogeneity, is relatively complex to operate, has large workload, and is not beneficial to field application. The brittleness coefficient method and the compressibility coefficient method which are commonly used at present belong to coefficient evaluation methods. However, existing coefficient method evaluation models have certain defects, mainly the influence factors are not considered comprehensively, and accurate evaluation of the compressibility of the shale reservoir is difficult. Therefore, a comprehensive, scientific, fast and convenient shale gas reservoir compressibility logging evaluation method and evaluation standard which are low in cost and are convenient to implement are urgently needed so as to provide guidance for well selection and stratum selection.
The shale gas reservoir compressibility logging evaluation method and evaluation standard which are effectively verified by the existing production practice. So as to provide guidance for well selection and stratum selection.
The shale gas reservoir compressibility evaluation method based on logging information comprises the following steps: collecting conventional logging information of a target interval, and dividing the shale reservoir according to the parameters; establishing a shale gas reservoir compressibility mathematical model; verifying the reliability of the model and optimizing stratum parameters by combining all the data; and quantitatively representing the compressibility of the shale gas reservoir and predicting.
Disclosure of Invention
The invention aims to provide a shale gas compressibility logging evaluation method which is low in cost, simple and convenient in method and strong in adaptability, and meets the requirement of shale gas field exploration and development in China on the basis of conventional logging data.
The invention aims to realize a shale formation compressibility evaluation method based on conventional logging information, which comprises the following specific steps:
1) collecting well logging data to be evaluated
The logging information to be evaluated is conventional logging information of the shale gas reservoir to be evaluated, and the conventional logging information comprises well logging and shale gas reservoir interpretation sections of logging and logging, lithology, gas-logging total hydrocarbon content, methane content, natural gamma value of the reservoir, uranium-removed natural gamma value, density value, ground stress difference coefficient, transverse wave time difference and longitudinal wave time difference;
2) dividing intervals of mudstone and shale, and determining characteristic values
Distinguishing intervals of mudstone and shale by natural gamma GR and natural gamma KTH for removing uranium;
mudstone: the natural gamma GR and the uranium removed natural gamma KTH both have relatively high values, the two curves have consistent shapes and are nearly parallel, and the amplitude difference between the two curves is mostly between 10 and 30;
shale: the GR value is wholly raised, the KTH value is wholly reduced, the difference between the shapes of the GR value and the KTH value is large, the amplitude difference between the two is larger than 40, and the difference value at individual positions is hundreds; the larger the difference value is, the better the shale reservoir quality is;
3) judging whether the evaluation standard of the compressibility of the shale gas reservoir in the work area is established
Entering the step 4) for the work area with the established work area shale gas reservoir compressibility evaluation standard and strong practicability;
if the shale gas reservoir compressibility evaluation standard of the work area is not established or the existing standard is not applicable, establishing the work area of the shale gas reservoir compressibility evaluation standard according to the existing work area data, and then entering the step 4);
4) establishing a shale gas reservoir compressibility evaluation standard according to conventional logging data of actual drilling in a work area:
① firstly carrying out normalization processing on each parameter collected in the step 1);
② according to the parameters, establishing a shale gas reservoir compressibility mathematical model, wherein BI is [ (A + B)/(C +1) + F ] × E
In the formula: a ═ log [ ((GR-KTH)/(GRmax-KTH)) +1]
B＝1-((DEN-DENmin)/(DENmax-DENmin))
C＝eCYXS
E＝1-KTH/GRmax
F＝2-DTS/DTC；
In the formula: GRmax natural gamma maximum, DEN compensation density, DENmin compensation density minimum, DENmax compensation density maximum, CYXS ground stress difference coefficient, DTS stratum transverse wave time difference and DTC stratum longitudinal wave time difference;
③ verifying the reliability of the model and optimizing the stratum parameters by combining all the data;
5) quantitatively characterizing and predicting compressibility of shale gas reservoirs
Quantitatively characterizing the compressibility of the reservoir according to the BI values calculated in the step 3):
BI is more than 0 and less than 0.4, and compressibility is poor; BI is more than 0.4 and less than 0.6, and compressibility is medium; BI is more than 0.6 and less than 1.0, and compressibility is good;
6) and outputting an evaluation result.
The method is applied to Fuling shale gas fields and Yichang areas, quantitative evaluation is carried out on the formation compressibility, the fracturing construction design of horizontal wells is effectively guided, the fracturing efficiency is improved, and the purpose of increasing yield is achieved.
The method has good popularization and application values, and improves the logging evaluation and engineering service level of the shale gas reservoir in China.
Drawings
FIG. 1 is a block diagram of the workflow of the present invention;
FIG. 2 is a shale gas reservoir compressibility evaluation pattern of a Fuling shale gas field coke dam block.
Detailed Description
The present invention is described in detail below with reference to the accompanying drawings.
Referring to fig. 1, the method comprises the following specific steps:
1) collecting logging data of well to be tested
The well logging information to be detected is conventional logging information of a shale gas reservoir of the well to be detected, and the conventional logging information comprises shale gas reservoir interpretation well sections of well logging and well logging, lithology, gas-logging total hydrocarbon content, methane content, natural gamma values of the reservoir, uranium-removed natural gamma values, density values, ground stress difference coefficients, transverse wave time differences and longitudinal wave time differences;
2) dividing intervals of mudstone and shale, and determining characteristic values
Distinguishing intervals of mudstone and shale by natural gamma GR and natural gamma KTH for removing uranium;
mudstone: the natural gamma GR and the uranium removed natural gamma KTH both have relatively high values, the two curves have consistent shapes and are nearly parallel, and the amplitude difference between the two curves is mostly between 10 and 30;
shale: the GR value is wholly raised, the KTH value is wholly reduced, the difference between the shapes of the GR value and the KTH value is large, the amplitude difference between the two is larger than 40, and the difference value at individual positions is hundreds; the larger the difference value is, the better the shale reservoir quality is;
3) judging whether the evaluation standard of the compressibility of the shale gas reservoir in the work area is established
The compressibility evaluation standard of the shale gas reservoir in the work area is established, the practicability is high, and the step 4) is carried out;
if the evaluation standard of the compressibility of the shale gas reservoir in the work area is not established or the existing standard is not applicable, the evaluation standard of the compressibility of the shale gas reservoir needs to be established according to the data of the existing work area, and then the step 4) is carried out;
4) establishing a shale gas reservoir compressibility evaluation standard according to conventional logging data of actual drilling in a work area:
① firstly carrying out normalization processing on each parameter collected in the step 1);
② according to the parameters, establishing a shale gas reservoir compressibility mathematical model, wherein BI is [ (A + B)/(C +1) + F ] × E
In the formula: a ═ log [ ((GR-KTH)/(GRmax-KTH)) +1]
B＝1-((DEN-DENmin)/(DENmax-DENmin))
C＝eCYXS
E＝1-KTH/GRmax
F＝2-DTS/DTC；
③ verifying the reliability of the model and optimizing the stratum parameters by combining all the data;
5) quantitatively characterizing and predicting compressibility of shale gas reservoirs
Quantitatively characterizing the compressibility of the reservoir according to the BI values calculated in the step 3):
BI is more than 0 and less than 0.4, and compressibility is poor; BI is more than 0.4 and less than 0.6, and compressibility is medium; BI is more than 0.6 and less than 1.0, and compressibility is good;
6) and outputting an evaluation result.
The invention has been applied in Fuling shale gas field and Yichang area, and has good effect. The evaluation of the compressibility of a shale gas reservoir of a certain well in the Fuling shale gas field and the coke dam block is shown in figure 2, wherein the natural gamma, the density, the longitudinal wave time difference, the transverse wave time difference and the reservoir compressibility index are respectively represented by 1, 2, 3, 4, 5 and 6.
The method has good popularization and application values, and improves the logging evaluation and engineering service level of the shale gas reservoir in China.
Claims (1)
1. A shale formation compressibility evaluation method based on conventional logging information is characterized by comprising the following steps: the method comprises the following specific steps:
1) collecting well logging data to be evaluated
The logging information to be evaluated is conventional logging information of the shale gas reservoir to be evaluated, and the conventional logging information comprises well logging and shale gas reservoir interpretation sections of logging and logging, lithology, gas-logging total hydrocarbon content, methane content, natural gamma value of the reservoir, uranium-removed natural gamma value, density value, ground stress difference coefficient, transverse wave time difference and longitudinal wave time difference;
2) dividing intervals of mudstone and shale, and determining characteristic values
Distinguishing intervals of mudstone and shale by natural gamma GR and natural gamma KTH for removing uranium;
mudstone: the natural gamma GR and the uranium removed natural gamma KTH both have relatively high values, the two curves have consistent shapes and are nearly parallel, and the amplitude difference between the two curves is mostly between 10 and 30;
shale: the GR value is wholly raised, the KTH value is wholly reduced, the difference between the shapes of the GR value and the KTH value is large, the amplitude difference between the two is larger than 40, and the difference value at individual positions is hundreds; the larger the difference value is, the better the shale reservoir quality is;
3) judging whether the evaluation standard of the compressibility of the shale gas reservoir in the work area is established
Entering the step 4) for the work area with the established work area shale gas reservoir compressibility evaluation standard and strong practicability;
if the shale gas reservoir compressibility evaluation standard of the work area is not established or the existing standard is not applicable, establishing the work area of the shale gas reservoir compressibility evaluation standard according to the existing work area data, and then entering the step 4);
4) establishing a shale gas reservoir compressibility evaluation standard according to conventional logging data of actual drilling in a work area:
① firstly carrying out normalization processing on each parameter collected in the step 1);
② establishing a shale gas reservoir compressibility mathematical model according to the parameters, wherein BI = [ (A + B)/(C +1) + F ] × E
In the formula: a = log [ ((GR-KTH)/(GRmax-KTH)) +1]
B=1-((DEN-DENmin)/(DENmax-DENmin))
C=eCYXS
E=1-KTH/ GRmax
F=2- DTS/DTC；
In the formula: GRmax natural gamma maximum, DEN compensation density, DENmin compensation density minimum, DENmax compensation density maximum, CYXS ground stress difference coefficient, DTS stratum transverse wave time difference and DTC stratum longitudinal wave time difference;
③ verifying the reliability of the model by combining all the data;
5) quantitatively characterizing and predicting compressibility of shale gas reservoirs
Quantitatively characterizing the compressibility of the reservoir according to the BI values calculated in the step 3):
BI is more than 0 and less than 0.4, and compressibility is poor; BI is more than 0.4 and less than 0.6, and compressibility is medium; BI is more than 0.6 and less than 1.0, and compressibility is good;
6) and outputting an evaluation result.
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| CN109025982A (en) * | 2018-07-16 | 2018-12-18 | 中国石油化工股份有限公司江汉油田分公司勘探开发研究院 | Classification evaluation method, device and the terminal device of shale gas exploitation interval |
| CN111413741B (en) * | 2019-01-04 | 2022-12-02 | 中国石油天然气股份有限公司 | Sandstone-type uranium ore resource amount calculation method and device |
| CN112001095B (en) * | 2020-09-09 | 2023-08-04 | 中国石油化工集团有限公司 | Method for establishing well cementation quality evaluation index and well cementation quality evaluation method |
| CN114427436A (en) * | 2020-09-30 | 2022-05-03 | 中国石油化工股份有限公司 | Method and device for evaluating organic carbon content in reservoir well, electronic equipment and medium |
| CN112282717B (en) * | 2020-10-28 | 2023-02-28 | 中国石油天然气集团有限公司 | Fracturing fracture detection and evaluation method suitable for shale gas reservoir hydraulic fracturing |
| CN112576238B (en) * | 2020-12-02 | 2022-10-28 | 中国石油大学(华东) | System, method and application for determining position and content of residual oil in low-permeability reservoir |
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Effective date of registration: 20220511 Address after: 100728 No. 22 North Main Street, Chaoyang District, Beijing, Chaoyangmen Patentee after: SINOPEC Group Patentee after: SINOPEC OILFIELD SERVICE Corp. Patentee after: SINOPEC OILFIELD SERVICE JIANGHAN Corp. Patentee after: Sinopec Jingwei Co.,Ltd. Patentee after: Jianghan logging branch of Sinopec Jingwei Co.,Ltd. Address before: 100028 Chaoyang District, Beijing Hui Xin Street 6, Twelfth level. Patentee before: SINOPEC OILFIELD SERVICE Corp. Patentee before: Sinopec Jianghan Petroleum Engineering Co., Ltd |
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