CN109555517A - For the coal bed gas proved reserves property employed quantitative evaluation method - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 67
- 239000003245 coal Substances 0.000 title claims abstract description 43
- 238000011158 quantitative evaluation Methods 0.000 title claims abstract description 22
- 238000011161 development Methods 0.000 claims abstract description 75
- 238000011156 evaluation Methods 0.000 claims abstract description 54
- 239000011159 matrix material Substances 0.000 claims abstract description 18
- 230000008901 benefit Effects 0.000 claims abstract description 6
- 238000011234 economic evaluation Methods 0.000 claims abstract description 5
- 238000005516 engineering process Methods 0.000 claims description 18
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- E—FIXED CONSTRUCTIONS
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Abstract
It should include: step 1 for the coal bed gas proved reserves property employed quantitative evaluation method for the coal bed gas proved reserves property employed quantitative evaluation method that the present invention, which provides a kind of, determining to influence the proved reserves property employed key geologic(al) factor；Step 2, the crucial geologic(al) factor movably property used classification standard is determined；Step 3, single factor evaluation matrix is established；Step 4, crucial geologic(al) factor weight coefficient matrix is determined；Step 5, the progress property employed key geologic(al) factor Fuzzy Evaluation；Step 6, used development scheme under clear evaluation geological condition；Step 7, development scheme technical and economic evaluation is carried out；Step 8, the evaluation of the proved reserves property employed is carried out.Fuzzy mathematics method quantitative assessment geological conditions, the determined production practice of geological conditions should be passed through for the coal bed gas proved reserves property employed quantitative evaluation method, comprehensive market gas price carries out the prediction of development benefit, achieved the purpose that quantitative assessment.
Description
Technical field
The present invention relates to oil field development technical fields, and especially relating to one kind can employ for coal bed gas proved reserves
Property quantitative evaluation method.
Background technique
It is shown according to Ministry of Land and Resources's National Oil Gas Resources dynamic evaluation achievement in 2015, China's coal bed gas geological resources
Up to 36.8 × 108m3, and it is widely distributed.The property employed of coal bed gas resource is selection and appraisal of exploration area key factor in need of consideration.
The property employed refers under the conditions of current economic technology, a recoverable degree of regional coal bed gas, it by many factors such as
The influence of many factors such as geological conditions, cbm development mode, development technology, market condition and national policy regulation, wherein
Geological conditions, cbm development mode and development technology are the principal elements of influence technique workability, and geological conditions is technology
The deciding factor of workability.
For the coal bed gas proved reserves property employed overall merit, forefathers' research is less, it is general by zones and surface areas for joint exploration and exploitation into
The analysis of row production effect difference compares, from the coal measure strata property of water-bearing, rift structure, crustal stress states and coal seam and country rock
Lithology combination etc. thoroughly discusses the evaluation problem of the coal bed gas resource property employed, and then proposes that coal bed gas resource can be employed
Qualitative/semi-quantitative assessment the method for property.Method particularly includes: to coal measures according to depositional environment (sand mud ratio is an important indicator)
The property of water-bearing of layer makes overall judgement, if coal measure strata water-bearing layer development (sand mud is than high), block entirety high yield water risk
Greatly, the coal bed gas resource property employed is weak, when exploring constituency, especially it is noted that the developmental state of research fracture, selection fracture structure
Make relatively simple region；At exploration assessment stage and preferred development phase well location, should be noted far from fracture belt (250~
300m), lead to the appearance of high yield aqueous condition to reduce the natural hydraulic communication effect because of fracture；In the exploration assessment stage and open
When hair stage fractured layer position is preferred, the lithology combination of crustal stress type and coal seam and country rock need to be considered, Optimum Fracturing scale will
Pressure-break height controls in coal seam and water barrier, or abandons because direct roof and floor impermeable layer thickness is small, indirect roof and floor contains
Water layer thickness is big and coal bed gas resource is difficult to the coal seam employed, and realizes that with well, other can employ that coal seam effectively drains and decompression is adopted
The purpose of gas.
The existing coal bed gas proved reserves property employed overall merit rests on qualitative-sxemiquantitative stage, passes through single factor test
Comparison obtain or bad standard, this method cannot comprehensively consider geological conditions, cbm development mode, exploitation
Technique, the factor of market condition carry out quantitative assessment, cannot finally provide the queuing of the property employed of each block in a region
Situation.We have invented a kind of new to be directed to the coal bed gas proved reserves property employed quantitative evaluation method thus, solves above
Technical problem.
Summary of the invention
The object of the present invention is to provide a kind of property employed for coal bed gas block to be accurately lined up, and coal bed gas is solved
The select permeability of block exploitation is directed to the coal bed gas proved reserves property employed quantitative evaluation method.
The purpose of the present invention can be achieved by the following technical measures: quantitative for the coal bed gas proved reserves property employed
Evaluation method should include: step 1 for the coal bed gas proved reserves property employed quantitative evaluation method, and determining influences proved reserves
The property employed key geologic(al) factor；Step 2, the crucial geologic(al) factor movably property used classification standard is determined；Step 3, single factor test is established
Evaluations matrix；Step 4, crucial geologic(al) factor weight coefficient matrix is determined；Step 5, the progress property employed key geologic(al) factor mould
Paste Mathematical Evaluation；Step 6, used development scheme under clear evaluation geological condition；Step 7, development scheme technology is carried out
Economic evaluation；Step 8, the evaluation of the proved reserves property employed is carried out.
The purpose of the present invention can be also achieved by the following technical measures:
In step 1, by geologic feature, the overall merit of development scheme, the practical money in area is studied and studied in conjunction with forefathers
Material, determining influences the proved reserves property employed key geologic(al) factor, crucial geologic(al) factor summary sheet is formulated, by each factor
Be named as r1, r2 ... rn.
In step 2, according to the geologic feature of each evaluation unit, Reservoir behavior feature and development effectiveness, by analyzing m
The crucial geologic(al) factor of n of a development zone establishes good, preferable, poor, the poor 4 class classification standard of the property employed.
In step 3, each key geologic(al) factor evaluations matrix ri=(r is determinedi1 ri2 ri3 ri4), determination side
Formula is as follows:
According to the crucial geologic(al) factor classification standard established in step 2, the division one of each crucial geologic(al) factor quality
As establish a numberical range S (i)；Then, it is determined that each crucial geologic(al) factor must be true to the evaluation of the reserves property employed
The boundary value of fixed each adjacent category, i.e. classification typical value e (i), the value are determined by following principle:
According to Newton iteration principle, it can be assumed that single factor evaluation standard r (x) is linear segmented function, and Approach by inchmeal is asked
Solution, determines each geologic(al) factor evaluations matrix with the following method:
The single factor evaluation matrix R being made of N number of crucial geologic(al) factor
In step 4, by the abundant investigation studied forefathers, weight is carried out to factor according to the actual conditions in research area
The property wanted sorts, and according to the experience of expert, delimit each factor sequence of importance value, compiles preferential Score Lists, ask differential, calculates factor
Significance level coefficient establishes the weight coefficient of n crucial geologic(al) factor, i.e. weight fuzzy Judgment collection W=(w1,w2,…,wn),
Wherein:
In steps of 5, according to mathematical model V=WR, wherein V: evaluate collection；W: weight coefficient；R: single factor test is constituted
Fuzzy subset；Obtain evaluate collection: V=WR=(v1, v2, v3, v4)；
The property employed: v1- evaluation result is best, and typical development technique is not carried out；V2, v3- evaluation result preferably and compared with
Difference, some movable is used after applying typical process；V4- evaluation result be it is poor, can not all be employed regardless of technique；
Due to short -board effect, i.e., when geologic(al) factor a certain in the crucial geologic(al) factor of selection is particularly poor, then directly determine
The property employed is poor.
In step 6, existing cbm development mode feature is analyzed, and determines the geology applicability of various development schemes
And otherness；Well yield changes before and after implementing each typical development mode in statistical research area.
In step 7, available reserves before development technology before implementing are as follows:
Qk=Qz × v1,
In formula, Qk is to be not carried out typical development technique available reserves, and Qz is block gross reserves, v1 be crucial geology because
Numerical value in plain Fuzzy Evaluation；
Available reserves increment after implementation are as follows: Qi=Qz × (a*v2+b*v3),
In formula, Qi is to implement typical development technique available reserves, and a, b are preferable, poor movable to correspond to after application technique
With the increment coefficient of property reserves, v2, v3, v4 are numerical value in crucial geologic(al) factor Fuzzy Evaluation；
It can not mining-employed reserves are as follows: Qb=Qz × (v2+v3+v4)-Qi
In formula, Qb is can not mining-employed reserves；
The profit increment P of development scheme t1t1=Qi × p-Ct1=Qz × (at1*v2+bt1*v3)×p-Ct1
The profit increment P of development scheme t2t2=Qi × p-Ct2=Qz × (at2*v2+bt2*v3)×p-Ct2
In formula, at1、bt1For the increment coefficient for corresponding to preferable, the poor property employed reserves after application technique t1, at2、bt2For
The increment coefficient of preferable, the poor property employed reserves, C are corresponded to after application technique t2t1For the cost of development technology t1, Ct2To open
The cost of technique t2 is sent out, p is current gas price；
Available reserves Qt1=Qk+Qi=Qz × (v1+a of typical development technique t1t1*v2+bt1*v3)；
Available reserves Qt2=Qk+Qi=Qz × (v1+a of typical development technique t2t2*v2+bt2*v3)。
In step 8, proved reserves are employed effect assessment and should be calculated as follows:
Benefit P=Max (Qt1, Qt2) × p-C can be employedwell-(Ct1,Ct2)
Benefit rate Pr=100% × P/ [C can be employedwell+(Ct1,Ct2)]
In formula, CwellFor drilling cost, Ct1To implement development technology t1 cost, Ct2To implement development technology t2 cost
Under low oil price, Pr it is big preferential development.
It is directed to the coal bed gas proved reserves property employed quantitative evaluation method in the present invention, passes through geologic feature, exploitation side
Effect assessment standard is employed in the overall merit of formula, analytical technology feasibility and economic validity, formation, completes coal bed gas block
The property employed evaluation, specific research contents is as follows: the crucial geologic(al) factor Fuzzy Evaluation that reserves are effectively employed；It is typical
Development scheme technical and economic evaluation；Proved reserves employ effect assessment research on standard.This method is quantitative by fuzzy mathematics method
Geological conditions, the determined production practice of geological conditions are evaluated, comprehensive market gas price carries out the prediction of development benefit, reaches
The purpose of quantitative assessment.
Detailed description of the invention
Fig. 1 is the specific embodiment for the coal bed gas proved reserves property employed quantitative evaluation method of the invention
Flow chart.
Specific embodiment
To enable above and other objects, features and advantages of the invention to be clearer and more comprehensible, preferably implementation is cited below particularly out
Example, and cooperate shown in attached drawing, it is described in detail below.
As shown in FIG. 1, FIG. 1 is the processes for the coal bed gas proved reserves property employed quantitative evaluation method of the invention
Figure.
In step 101, by geologic feature, the overall merit of development scheme, the practical money in area is studied and studied in conjunction with forefathers
Material formulates the proved reserves property employed single factor evaluation table (determining analytical factor by a large amount of investigate).Formulate factor of evaluation
Summary sheet, as shown in table 1.
1 factor of evaluation summary sheet of table
In step 102, according to the geologic feature of each evaluation unit, Reservoir behavior feature and development effectiveness, by counting m
The crucial geologic(al) factor of n of a development zone establishes good, preferable, poor, the poor 4 class classification standard of the property employed, it may be assumed that (it is good, compared with
It is good, poor, poor) standard, as shown in table 2.
2 single factor evaluation standard of table
The fuzzy subset that n single factor evaluation index is obtained constitutes fuzzy set R.
In step 103, the evaluations matrix ri=(r of single factor test is determinedi1 ri2 ri3 ri4).Such as calculate factor r1=0.15 <
0.3, the range belonged to is then 1 in good value, other preferable, poor, poor values are 0, single factor evaluation matrix is then
r1=(r11 r12 r13 r14)=(1000).
In one embodiment, each key geologic(al) factor evaluations matrix ri=(r is determinedi1 ri2 ri3 ri4), it determines
Mode is as follows:
According to the crucial geologic(al) factor classification standard established in step 2, the division one of each crucial geologic(al) factor quality
As establish a numberical range S (i)；Then, it is determined that each crucial geologic(al) factor must be true to the evaluation of the reserves property employed
The boundary value of fixed each adjacent category, i.e. classification typical value e (i), the value are determined by following principle:
According to Newton iteration principle, it can be assumed that single factor evaluation standard r (x) is linear segmented function, and Approach by inchmeal is asked
Solution, determines each geologic(al) factor evaluations matrix with the following method:
Citing: it is 0.35 that r1, which calculates result, then according to classification standard (table 2) in step 2
E (1)=0.3
E (4)=0.8
r12=1-0.6=0.4
r13=0
r14=0
Then the evaluations matrix of crucial geologic(al) factor r1 is r1=(0.6 0.4 0 0)
By the single factor evaluation matrix R being made of N number of crucial geologic(al) factor
In step 104, by the abundant investigation studied forefathers, according to the actual conditions in research area (especially by right
The research in development zone) each factor sequence of importance value delimited according to the experience of expert to factor progress importance ranking, it compiles
Preferential Score Lists ask differential, calculate factor significance level coefficient.Establish the weight coefficient of n crucial geologic(al) factor, i.e. weight
Fuzzy Judgment collection W=(w1,w2,…,wn),
Wherein:
In step 105, according to mathematical model-V=WR, V: evaluate collection；W: weight coefficient；R: the mould that single factor test is constituted
Paste subset.
Obtain evaluate collection: V=WR=(v1, v2, v3, v4)
The property employed: typical development technique is not carried out in v1-；Some movable is used after v2, v3- apply typical process；V4- is not
Which kind of technique is managed, can not be employed.
Further, since short -board effect, i.e., when geologic(al) factor a certain in the crucial geologic(al) factor of selection is particularly poor, then directly
The judgement property employed is connect as difference.
Step 106, used development scheme under clear evaluation geological condition.Analyze existing cbm development mode
T1, t2 ..., ti feature, and determine the geology applicability and otherness of various development schemes.Implement each allusion quotation in statistical research area
Well yield variation before and after type development scheme.
Step 107, development scheme technical and economic evaluation.
Available reserves should before implementing are as follows: Qk=Qz × v1,
In formula, Qk is that typical development technique available reserves are not carried out, and Qz is block gross reserves.
Available reserves increment after implementation are as follows: Qi=Qz × (a*v2+b*v3),
In formula, Qi is to implement typical development technique available reserves, and a, b be after applying technique, it is corresponding it is preferable, poor can
(for different development schemes, a, b are different for the increment coefficient of the property employed reserves；A, b can be fitted the statistical data of different blocks
It acquires).
It can not mining-employed reserves are as follows: Qb=Qz × (v2+v3+v4)-Qi
In formula, Qb is can not mining-employed reserves.
The profit increment P of development scheme t1t1=Qi × p-Ct1=Qz × (at1*v2+bt1*v3)×p-Ct1
The profit increment P of development scheme t2t2=Qi × p-Ct2=Qz × (at2*v2+bt2*v3)×p-Ct2
In formula, at1, bt1 are that the increment coefficients of preferable, the poor property employed reserves is corresponded to after applying technique t1, at2,
Bt2 is the increment coefficient that preferable, the poor property employed reserves are corresponded to after applying technique t2, and Ct1 is the cost of development technology t1,
Ct2 is the cost of development technology t2, and p is current gas price；
Available reserves Qt1=Qk+Qi=Qz × (v1+a of typical development technique t1t1*v2+bt1*v3)
Available reserves Qt2=Qk+Qi=Qz × (v1+a of typical development technique t2t2*v2+bt2*v3)
Step 108, the proved reserves property employed is evaluated.
Certain block proved reserves is employed effect assessment and should be calculated as follows
Benefit P=Max (Qt1, Qt2) × p-C can be employedwell-(Ct1,Ct2)
Benefit rate Pr=100% × P/ [C can be employedwell+(Ct1,Ct2)]
In formula, Cwell is drilling cost, and Ct1 is to implement development technology t1 cost, Ct2 be implement development technology t2 at
This
Under low oil price, Pr it is big preferential development.
Claims (9)
1. being directed to the coal bed gas proved reserves property employed quantitative evaluation method, which is characterized in that coal bed gas proved reserves should be directed to
The property employed quantitative evaluation method includes:
Step 1, determining influences the proved reserves property employed key geologic(al) factor；
Step 2, the crucial geologic(al) factor movably property used classification standard is determined；
Step 3, single factor evaluation matrix is established；
Step 4, crucial geologic(al) factor weight coefficient matrix is determined；
Step 5, the progress property employed key geologic(al) factor Fuzzy Evaluation；
Step 6, used development scheme under clear evaluation geological condition；
Step 7, development scheme technical and economic evaluation is carried out；
Step 8, the evaluation of the proved reserves property employed is carried out.
2. according to claim 1 be directed to the coal bed gas proved reserves property employed quantitative evaluation method, which is characterized in that
In step 1, by geologic feature, the overall merit of development scheme, area's real data is studied and studied in conjunction with forefathers, determining influences
The proved reserves property employed key geologic(al) factor formulates crucial geologic(al) factor summary sheet, by each factor be named as r1,
r2、……rn。
3. according to claim 1 be directed to the coal bed gas proved reserves property employed quantitative evaluation method, which is characterized in that
In step 2, according to the geologic feature of each evaluation unit, Reservoir behavior feature and development effectiveness, pass through a development zone analysis m
N crucial geologic(al) factor establishes good, preferable, poor, the poor 4 class classification standard of the property employed.
4. according to claim 1 be directed to the coal bed gas proved reserves property employed quantitative evaluation method, which is characterized in that
In step 3, each key geologic(al) factor evaluations matrix ri=(r is determinedi1ri2ri3ri4), method of determination is as follows:
Division according to the crucial geologic(al) factor classification standard established in step 2, each crucial geologic(al) factor quality is generally true
Found a numberical range S (i)；Then, it is determined that each crucial geologic(al) factor must determine respectively the evaluation of the reserves property employed
The boundary value of adjacent category, i.e. classification typical value e (i), the value are determined by following principle:
According to Newton iteration principle, it can be assumed that single factor evaluation standard r (x) is linear segmented function, and Approach by inchmeal is solved, adopted
Each geologic(al) factor evaluations matrix is determined with the following method:
The single factor evaluation matrix R being made of N number of crucial geologic(al) factor
5. according to claim 1 be directed to the coal bed gas proved reserves property employed quantitative evaluation method, which is characterized in that
In step 4, by the abundant investigation studied forefathers, importance ranking, root are carried out to factor according to the actual conditions in research area
According to the experience of expert, each factor sequence of importance value delimited, preferential Score Lists are compiled, asks differential, calculates factor significance level coefficient,
Establish the weight coefficient of n crucial geologic(al) factor, i.e. weight fuzzy Judgment collection W=(w1,w2,…,wn),
Wherein:
6. according to claim 1 be directed to the coal bed gas proved reserves property employed quantitative evaluation method, which is characterized in that
In step 5, according to mathematical model V=WR, wherein V: evaluate collection；W: weight coefficient；R: the fuzzy subset that single factor test is constituted；
Obtain evaluate collection: V=WR=(v1, v2, v3, v4)；
The property employed: v1- evaluation result is best, and typical development technique is not carried out；V2, v3- evaluation result are preferable and poor, apply
Some movable is used after typical process；V4- evaluation result be it is poor, can not all be employed regardless of technique；
Due to short -board effect, i.e., when geologic(al) factor a certain in the crucial geologic(al) factor of selection is particularly poor, then directly determine movable
It is poor with property.
7. according to claim 1 be directed to the coal bed gas proved reserves property employed quantitative evaluation method, which is characterized in that
In step 6, existing cbm development mode feature is analyzed, and determine the geology applicability and otherness of various development schemes；System
Well yield changes before and after implementing each typical development mode in meter research area.
8. according to claim 1 be directed to the coal bed gas proved reserves property employed quantitative evaluation method, which is characterized in that
In step 7, available reserves before development technology before implementing are as follows:
Qk=Qz × v1,
In formula, Qk is that typical development technique available reserves are not carried out, and Qz is block gross reserves, and v1 is that crucial geologic(al) factor is fuzzy
Numerical value in Mathematical Evaluation；
Available reserves increment after implementation are as follows: Qi=Qz × (a*v2+b*v3),
In formula, Qi is to implement typical development technique available reserves, and a, b are to correspond to preferable, the poor property employed after applying technique
The increment coefficient of reserves, v2, v3, v4 are numerical value in crucial geologic(al) factor Fuzzy Evaluation；
It can not mining-employed reserves are as follows: Qb=Qz × (v2+v3+v4)-Qi
In formula, Qb is can not mining-employed reserves；
The profit increment P of development scheme t1t1=Qi × p-Ct1=Qz × (at1*v2+bt1*v3)×p-Ct1
The profit increment P of development scheme t2t2=Qi × p-Ct2=Qz × (at2*v2+bt2*v3)×p-Ct2
In formula, at1、bt1For the increment coefficient for corresponding to preferable, the poor property employed reserves after application technique t1, at2、bt2To apply
The increment coefficient of preferable, the poor property employed reserves, C are corresponded to after technique t2t1For the cost of development technology t1, Ct2To develop work
The cost of skill t2, p are current gas price；
Available reserves Qt1=Qk+Qi=Qz × (v1+a of typical development technique t1t1*v2+bt1*v3)；
Available reserves Qt2=Qk+Qi=Qz × (v1+a of typical development technique t2t2*v2+bt2*v3)。
9. according to claim 1 be directed to the coal bed gas proved reserves property employed quantitative evaluation method, which is characterized in that
In step 8, proved reserves are employed effect assessment and should be calculated as follows
Benefit P=Max (Qt1, Qt2) × p-C can be employedwell-(Ct1,Ct2)
Benefit rate Pr=100% × P/ [C can be employedwell+(Ct1,Ct2)]
In formula, CwellFor drilling cost, Ct1To implement development technology t1 cost, Ct2To implement development technology t2 cost
Under low oil price, Pr it is big preferential development.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111485868A (en) * | 2020-04-09 | 2020-08-04 | 中海石油气电集团有限责任公司 | Coal bed gas field power utilization reserve estimation method based on development scheme |
| CN112330036A (en) * | 2020-11-10 | 2021-02-05 | 煤炭科学技术研究院有限公司 | Gas trapping development suitability evaluation method and target abandoned mine optimization method |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100312479A1 (en) * | 2009-04-22 | 2010-12-09 | Baker Hughes Incorporated | Use of chemically and geologically consistent constraints for obtaining elemental chemistry downhole |
| CN103075142A (en) * | 2013-01-14 | 2013-05-01 | 中国石油大学(华东) | Method for selecting water plugging oil well during development of oilfield through water injection |
| CN104239666A (en) * | 2013-06-20 | 2014-12-24 | 中国石油化工股份有限公司 | Analytic hierarchy process based coal bed methane comprehensive evaluation method |
| CN105093340A (en) * | 2015-08-05 | 2015-11-25 | 中国石油天然气股份有限公司 | Method and device for acquiring movable water volume of coal bed |
| CN105134191A (en) * | 2015-08-25 | 2015-12-09 | 中国石油天然气股份有限公司 | Method for evaluating reserves of tight oil well |
| CN105488583A (en) * | 2015-11-23 | 2016-04-13 | 中国石油天然气股份有限公司 | Method and device for predicting recoverable reserve of dense oil in region to be evaluated |
| CN107301483A (en) * | 2016-04-14 | 2017-10-27 | 中国石油化工股份有限公司 | The rapid integrated method for evaluating non-producing reserves economic producing feasibility |
| CN107366537A (en) * | 2016-09-23 | 2017-11-21 | 中国石油化工股份有限公司 | The method of non-producing reserves block classification reservoir evaluation |
| CN108222925A (en) * | 2017-12-08 | 2018-06-29 | 中国石油集团川庆钻探工程有限公司 | Shale gas reservoir classification comprehensive evaluation method |
-
2018
- 2018-10-30 CN CN201811275699.7A patent/CN109555517A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100312479A1 (en) * | 2009-04-22 | 2010-12-09 | Baker Hughes Incorporated | Use of chemically and geologically consistent constraints for obtaining elemental chemistry downhole |
| CN103075142A (en) * | 2013-01-14 | 2013-05-01 | 中国石油大学(华东) | Method for selecting water plugging oil well during development of oilfield through water injection |
| CN104239666A (en) * | 2013-06-20 | 2014-12-24 | 中国石油化工股份有限公司 | Analytic hierarchy process based coal bed methane comprehensive evaluation method |
| CN105093340A (en) * | 2015-08-05 | 2015-11-25 | 中国石油天然气股份有限公司 | Method and device for acquiring movable water volume of coal bed |
| CN105134191A (en) * | 2015-08-25 | 2015-12-09 | 中国石油天然气股份有限公司 | Method for evaluating reserves of tight oil well |
| CN105488583A (en) * | 2015-11-23 | 2016-04-13 | 中国石油天然气股份有限公司 | Method and device for predicting recoverable reserve of dense oil in region to be evaluated |
| CN107301483A (en) * | 2016-04-14 | 2017-10-27 | 中国石油化工股份有限公司 | The rapid integrated method for evaluating non-producing reserves economic producing feasibility |
| CN107366537A (en) * | 2016-09-23 | 2017-11-21 | 中国石油化工股份有限公司 | The method of non-producing reserves block classification reservoir evaluation |
| CN108222925A (en) * | 2017-12-08 | 2018-06-29 | 中国石油集团川庆钻探工程有限公司 | Shale gas reservoir classification comprehensive evaluation method |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111485868A (en) * | 2020-04-09 | 2020-08-04 | 中海石油气电集团有限责任公司 | Coal bed gas field power utilization reserve estimation method based on development scheme |
| CN111485868B (en) * | 2020-04-09 | 2023-07-07 | 中海石油气电集团有限责任公司 | Development scheme-based reserve estimation method for coal bed gas field |
| CN112330036A (en) * | 2020-11-10 | 2021-02-05 | 煤炭科学技术研究院有限公司 | Gas trapping development suitability evaluation method and target abandoned mine optimization method |
| CN112330036B (en) * | 2020-11-10 | 2024-06-07 | 煤炭科学技术研究院有限公司 | Gas trap development suitability evaluation method and target abandoned mine optimization method |
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