CN114047547B - Quantitative evaluation method for sealing capacity of gypsum-salt rock type cover layer - Google Patents

Quantitative evaluation method for sealing capacity of gypsum-salt rock type cover layer Download PDF

Info

Publication number
CN114047547B
CN114047547B CN202111412243.2A CN202111412243A CN114047547B CN 114047547 B CN114047547 B CN 114047547B CN 202111412243 A CN202111412243 A CN 202111412243A CN 114047547 B CN114047547 B CN 114047547B
Authority
CN
China
Prior art keywords
rock
evaluation
lithology
type
limestone
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
Application number
CN202111412243.2A
Other languages
Chinese (zh)
Other versions
CN114047547A (en
Inventor
刘华
赵珊
程斌
王伸
王奇
张芷晴
魏鑫
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China University of Petroleum East China
Original Assignee
China University of Petroleum East China
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China University of Petroleum East China filed Critical China University of Petroleum East China
Priority to CN202111412243.2A priority Critical patent/CN114047547B/en
Publication of CN114047547A publication Critical patent/CN114047547A/en
Application granted granted Critical
Publication of CN114047547B publication Critical patent/CN114047547B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. analysis, for interpretation, for correction
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/282Application of seismic models, synthetic seismograms
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computing arrangements based on specific mathematical models
    • G06N7/02Computing arrangements based on specific mathematical models using fuzzy logic
    • G06N7/023Learning or tuning the parameters of a fuzzy system

Abstract

The invention relates to a quantitative evaluation method for sealing capacity of a plaster-salt rock cover layer, which comprises the following steps: selecting lithology combination type, lithology partition, dominant lithology accumulated thickness, cover layer accumulated thickness, thick single layer maximum thickness and cover-ground ratio as evaluation parameters; taking the capping capacity as a decision target, taking lithology and thickness as intermediate elements, taking the evaluation parameters as alternative schemes, establishing a hierarchical structure model in AHP software, analyzing the model to generate a judgment matrix, and judging the evaluation parameters by the judgment matrix to obtain weight values of the evaluation parameters; describing and quantifying each evaluation parameter by adopting a fuzzy language to obtain each evaluation parameter assignment; and establishing a quantitative evaluation model by using a weighted average method according to the weight value and the assignment of each evaluation parameter, and evaluating the sealing capacity of the plaster-salt rock cover layer according to the comprehensive evaluation value C calculated by the quantitative evaluation model. The method can accurately judge the sealing capacity of the plaster salt rock type cover layer, and has high precision, simplicity, practicability and wide application range.

Description

Quantitative evaluation method for sealing capacity of gypsum-salt rock type cover layer
Technical Field
The invention belongs to the technical field of oil and gas exploration, relates to the oil and gas exploration technology of a cream-salt rock type cover layer, and particularly relates to a quantitative evaluation method of the sealing capacity of the cream-salt rock type cover layer.
Background
The cream salt rock is used as the best cover layer and is extremely important for the preservation of oil and gas reservoirs. The total number of oil and gas fields with the cream salt rock as a cover layer is only 8%, but the oil and gas reserves of 55% are controlled. The deep-seated chills are one of the most important gypsum and salt rock sedimentary levels in the world (Zhao Mengjun et al, 2017), and have great potential for oil and gas exploration under salt. Taking a Tarim basin as an example, breakthrough of ZS1 and ZS5 wells in an under-salt dolomite reservoir, the existence of oil and gas under salt has been confirmed, but the oil and gas is not found under salt in wells such as LT1 and TC1 of the salt rock of the british system, and poor capping capacity is a main cause of disuse (Yi Shiwei, etc. 2019).
At present, students at home and abroad provide various methods and ideas for quantitatively evaluating the capping capability, and a fuzzy evaluation method is adopted for evaluating the capping capability from the macro and micro feature analysis of the capping layer. For example, ji Tianyu and other research areas are subjected to microscopic and macroscopic evaluation results of the cold and armed forces stratum, and a comprehensive evaluation mode of the cap layer sealing capability is established by taking the exploration condition of actual drilling as a constraint and adopting a fuzzy evaluation method, and a cap layer development powerful area is pointed out according to the evaluation results. The fuzzy mathematical method is rough in determining the weight coefficient and lacks a certain accuracy; in addition, considering that the quantitative evaluation content has too many elements, the evaluation process is complicated, and the general applicability is lacking.
Disclosure of Invention
Aiming at the problems of poor accuracy, low precision and the like in the prior art, the invention provides the quantitative evaluation method for the sealing capacity of the plaster salt rock type cover layer, which can accurately judge the sealing capacity of the plaster salt rock type cover layer, and has the advantages of high precision, simplicity, practicability and wide application range.
In order to achieve the purpose, the invention provides a quantitative evaluation method for the sealing capacity of a gypsum-salt rock type cover layer, which comprises the following specific steps:
and (3) selecting an evaluation parameter: selecting lithology combination type, lithology partition, dominant lithology accumulated thickness, cover layer accumulated thickness, thick single layer maximum thickness and cover-ground ratio as evaluation parameters;
and a weight determining step: taking cap layer sealing capability as a decision target, taking lithology and thickness as intermediate elements, taking evaluation parameters as an alternative scheme, and establishing a hierarchical structure model in AHP software; analyzing the hierarchical mechanism model through AHP software and generating a judgment matrix, comparing the evaluation parameters in pairs by the judgment matrix, and obtaining weight values of each evaluation parameter according to the scale of the judgment matrix or the input data of a right sliding bar of an adjusting module in the AHP software;
evaluation parameter assignment: describing and quantifying each evaluation parameter by adopting a fuzzy language to obtain each evaluation parameter assignment;
quantitative evaluation step: according to the weight value of each evaluation parameter and the assignment of each evaluation parameter, a quantitative evaluation model is established by a weighted average method, a comprehensive evaluation value C is calculated by the quantitative evaluation model, the sealing capacity of the plaster-salt rock type cover layer is evaluated according to the comprehensive evaluation value C, and the quantitative evaluation model is expressed as:
C=∑x i ×y i (1)
wherein x is i For the i-th evaluation parameter, y i The weight of the parameter is evaluated as the i-th item.
Preferably, in the step of selecting the evaluation parameters, the lithology combination types are divided into three major lithology combinations of a rock salt type, a rock paste type and a rock limestone type according to the single-well lithology proportion, wherein the rock salt type comprises a rock salt type I and a rock salt type II, the rock paste type comprises a rock paste type I and a rock paste type II, and the rock limestone type comprises a rock limestone type I and a rock limestone type II.
Preferably, the specific steps of dividing lithology combination types are as follows: dividing the combination with the salt rock content higher than that of the plaster rock into salt rock types according to the relative content of the plaster rock and the salt rock, dividing the salt rock content which is more than or equal to 40% into salt rock type I, and dividing the salt rock content which is less than 40% into salt rock type II; dividing the combination with the content of the plaster rock higher than that of the salt rock into plaster rock types, dividing the plaster rock with the content of mud rock more than or equal to 40% into plaster rock type I, and dividing the plaster rock with the content of mud rock less than 40% into plaster rock type II; dividing the limestone and mudstone content of more than or equal to 40 percent into a limestone type I, and dividing the limestone and mudstone content of less than 40 percent into a limestone type II.
Preferably, in the step of selecting the evaluation parameters, the method for determining the dominant lithology comprises the following steps: and screening lithology with strong physical property sealing capacity by taking breakthrough pressure of 4MPa as a limit, and determining lithology with breakthrough pressure of more than 4MPa as dominant lithology.
Preferably, in the step of selecting the evaluation parameters, the thick monolayer is a monolayer with a thickness of more than 10m in the dominant lithology.
Preferably, in the evaluation parameter assignment step, each evaluation parameter is described by a fuzzy language and is divided into five levels, and the amplitude intervals are respectively (0, 1), (1, 2), (2, 3), (3, 4) and (4, 5), and the single evaluation parameter assignment is obtained by quantization according to the single evaluation parameter value.
Compared with the prior art, the invention has the advantages and positive effects that:
(1) The quantitative evaluation method of the sealing capacity of the plaster-salt rock type cover layer provided by the invention takes a fuzzy teaching method as a basis, fully considers the characteristics of the macroscopic aspect and the microscopic aspect of the cover layer, introduces microscopic factors-breakthrough pressure in the macroscopic factor analysis process of lithology, thickness and the like, divides lithology with the breakthrough pressure of more than 4MPa into dominant lithology, has the thickness of more than 10m in the dominant lithology section and is divided into thick single layers, and when the multi-factor jointly controls the sealing capacity of the cover layer, introduces a hierarchical analysis method to determine the weight of each factor in an evaluation system so as to reduce the influence of human factors on the evaluation of the sealing capacity of the cover layer, and improves the accuracy and precision of evaluation.
(2) The quantitative evaluation method for the sealing capacity of the ointment and salt rock cover layer is simple and easy to operate, has the characteristics of high accuracy, reliability and high efficiency, is convenient to popularize in oil field exploration, and has guiding and reference significance for exploration of the submerged oil and gas reservoir under salt.
Drawings
FIG. 1 is a flow chart of a method for quantitatively evaluating the sealing capacity of a gypsum-salt rock type cover layer according to an embodiment of the invention;
FIG. 2 is a triangular plate for limestone lithology distinguishing and evaluating according to an embodiment of the invention;
FIG. 3 is a triangular plate for Yun Yan lithology discrimination evaluation according to an embodiment of the present invention;
FIG. 4 is a schematic flow and data entry diagram of an AHP software according to an embodiment of the present invention;
FIG. 5 is a schematic diagram showing lithology combination type division of a cover layer of a low-cold Wu system gypsum and salt rock in a Tarim basin according to an embodiment of the invention;
fig. 6 is a schematic diagram of evaluation results of the sealing capability of the tarry basin cream salt rock and oil gas display analysis according to the embodiment of the invention.
Detailed Description
The present invention will be specifically described below by way of exemplary embodiments. It is to be understood that elements, structures, and features of one embodiment may be beneficially incorporated in other embodiments without further recitation.
Referring to fig. 1, the invention provides a quantitative evaluation method for sealing capacity of a gypsum-salt rock type cover layer, which comprises the following specific steps:
s1, selecting evaluation parameters: and selecting lithology combination types, lithology subareas, dominant lithology accumulated thickness, cap layer accumulated thickness, thick single-layer maximum thickness and cover-ground ratio as evaluation parameters.
The dominant lithology and thick monolayer analysis in the macro features of the cover layer covers the micro features-breakthrough pressure of the cover layer, so that the combination type of lithology, lithology partition, dominant lithology accumulation thickness, cover layer accumulation thickness, maximum thickness of the thick monolayer and cover-to-ground ratio 6 main influencing factors are selected as evaluation parameters in the evaluation system of the sealing capacity of the cover layer of the plaster salt rock based on the macro and micro features of the cover layer.
When the cover layer analysis of the chills is performed, the lithology division is very important, the lithology combination types are divided into three major lithology combinations of a lithology type, a lithology type and a limestone type according to the lithology proportion of a single well, the lithology type comprises two minor lithology combinations of a lithology type I and a lithology type II, and the lithology type comprises two minor lithology combinations of a lithology type I and a lithology type II. Specifically, firstly, according to the relative content of the plaster rock and the rock salt, the combination with the rock salt content higher than that of the plaster rock is divided into rock salt types, the rock salt content more than or equal to 40% is divided into rock salt type I, and the rock salt content less than 40% is divided into rock salt type II. The combination with the content of the plaster rock being higher than that of the salt rock is divided into plaster rock types, wherein in the plaster rock types, the content of the plaster rock plus the mudstone is more than or equal to 40 percent and is divided into plaster rock type I, and the content of the plaster rock plus the mudstone is less than 40 percent and is divided into plaster rock type II. Besides the common lithology of the cover layer formed by the gypsum rock, the salt rock, the mudstone and the like, the limestone can also become a part for researching the cover layer because the displacement pressure of the limestone is larger than that of the dolomite, the content of the limestone and the mudstone is more than or equal to 40 percent and is divided into a type I limestone, and the content of the limestone and the mudstone is less than 40 percent and is divided into a type II limestone.
And taking the large physical property difference of each rock type in the gray rock type and the dolomite type into consideration, and carrying out lithologic partition evaluation. Specifically, only the mudstone limestone (breakthrough pressure 7.69 MPa) and the gypsum limestone (breakthrough pressure 8.28 MPa) in the limestone have average breakthrough pressure greater than 4MPa, and are dominant lithology, while the lithology such as the particle limestone is smaller than 4MPa, and the dominant lithology which is not used as a composition cover layer is divided into other limestone, and is distinguished from the mudstone limestone, and the gypsum limestone, the mudstone limestone and other limestone are used as three units in the lithology partition evaluation triangular plate of the limestone, and are divided into five areas A-E, and the lithology of the areas A-E is gradually deteriorated (see figure 2). Similarly, the mudstone Yun Yan with average breakthrough pressure greater than 4MPa in the cloud rock and the paste cloud rock are distinguished from other Yun Yan, and the paste cloud rock, the mud cloud Yun Yan and other cloud rocks are used as three units in the Yun Yan lithology partition evaluation triangular plate and are divided into five areas A-E, and lithology of the areas A-E is gradually deteriorated (see figure 3).
Specifically, the method for determining dominant lithology comprises the following steps: and screening lithology with strong physical property sealing capacity by taking breakthrough pressure of 4MPa as a limit, and determining lithology with breakthrough pressure of more than 4MPa as dominant lithology.
A thick monolayer refers to a monolayer having a thickness of greater than 10m in dominant lithology. Specifically, in the analysis process of the monolayer thickness, taking physical property sealing capability into consideration, dominant lithology with breakthrough pressure of more than 4MPa is screened, and the monolayer with the thickness of more than 10m in the dominant lithology is determined as a thick monolayer.
S2, determining weight: with cap layer sealing capability as a decision target and lithology and thickness as intermediate factors, the evaluation parameters of lithology combination type, lithology partition, dominant lithology accumulation thickness, cap layer accumulation thickness, thick single-layer maximum thickness and cap-ground ratio are used as alternatives, and a hierarchical structure model is built in AHP software (see figure 4). Analyzing the hierarchical mechanism model through AHP software and generating a judgment matrix, comparing the evaluation parameters in pairs by the judgment matrix, and obtaining the weight value of each evaluation parameter according to the judgment matrix scale (the meaning of the judgment matrix scale is shown in table 1, scale data is shown in fig. 4) or the input data of the right sliding bar of the adjustment module in the AHP software (see table 2).
TABLE 1
Scale with a scale bar Meaning of
(7,9] The indication factor Fi is compared with Fj, and Fi is absolutely important
(5,7] The representing factors Fi are very important compared with Fj
(3,5] The indication factor Fi is important compared with Fj
(1,3] The presentation factor Fi is slightly important compared to F
1 The presentation factors Fi are compared with Fj, and Fi and Fj are equally important
[1/3,1) The presentation factor Fi is slightly more important than Fj
[1/5,1/3) The indicative factor Fi is compared with Fj, which is important
[1/7,1/5) The representing factor Fi is very important compared with Fj
[1/9,1/7) The indicative factor Fi is compared with Fj, which is of absolute importance
TABLE 2
S3, evaluation parameter assignment: and describing each evaluation parameter by adopting a fuzzy language and quantifying to obtain each evaluation parameter assignment.
And describing each evaluation parameter by adopting a fuzzy language, dividing the evaluation parameter into five grades, wherein the amplitude intervals are respectively (0, 1), (1, 2), (2, 3), (3, 4) and (4, 5), and carrying out quantization according to the numerical value of the single evaluation parameter to obtain single evaluation parameter assignment.
TABLE 3 Table 3
S4, quantitative evaluation: according to the weight value of each evaluation parameter and the assignment of each evaluation parameter, a quantitative evaluation model is established by a weighted average method, a comprehensive evaluation value C is calculated by the quantitative evaluation model, the sealing capacity of the plaster-salt rock type cover layer is evaluated according to the comprehensive evaluation value C, and the quantitative evaluation model is expressed as:
C=∑x i ×y i (1)
wherein x is i For the i-th evaluation parameter, y i Weights for the ith evaluation parameterHeavy.
The larger the comprehensive evaluation value C is, the stronger the sealing capacity of the gypsum-salt rock type cover layer is, the more favorable the preservation of the submerged oil and gas reservoir is, and the smaller the oil and gas drilling risk is; on the contrary, the weaker the sealing capability of the gypsum salt rock type cover layer is, the less favorable for preserving the submerged oil and gas reservoir, and the greater the oil and gas drilling risk is. When the comprehensive evaluation value C of the cover layer is 3-4, the quality of the cover layer is good; when the comprehensive evaluation value C of the cover layer is 2-3, the quality of the cover layer is general; when the cap layer comprehensive evaluation value C is 1-2, the cap layer quality is poor.
The order of the steps S2 and S3 may be interchanged or may be performed simultaneously.
The quantitative evaluation method of the sealing capability of the plaster-salt rock cover layer takes the fuzzy mathematic method as the basis, fully considers the characteristics of the cover layer in terms of macro and micro, introduces micro factors-breakthrough pressure in the macro factor analysis process of lithology, thickness and the like, and divides lithology with the breakthrough pressure of more than 4MPa into dominant lithology, wherein the thickness in the dominant lithology section is more than 10m, and the lithology is divided into thick single layers. When the capping capacity is controlled by multiple factors, an Analytic Hierarchy Process (AHP) is introduced to determine the weight of each factor in an evaluation system so as to reduce the influence of human subjective factors on evaluation, and a cream-rock capping capacity evaluation standard is formulated, so that the capping capacity of the deep hydrocarbon reservoir cream-rock capping can be accurately judged, and the method has a relatively strong application range.
In order to more clearly and in detail describe the quantitative evaluation method of the sealing capability of the gypsum-salt rock type cover layer according to the embodiment of the present invention, the method of the present invention is further described below with reference to specific embodiments.
Examples:
the Tarim basin is positioned in the south of the Uygur autonomous region of Xinjiang and is the largest inland oil-gas basin in China. The hydrocarbon source rock of the Yuerbu group of the chile system, the reservoir of the Dolby rock of the Shorbulake and the cover layer of the Usongar group-Avataegus group form a high-quality raw cover combination under the salt deep layer of the research area. Large areas of cream salt rock formations are developed in the cold and armed systems of the basin area of the Tarim basin, billions of ton-scale large oil and gas fields derived from undersalted hydrocarbon source rocks have been found in the saline Ottoming system; with the breakthrough of the reservoir of dolomite under salt in ZS1 and ZS5 wells, the existence of oil gas under salt has been confirmed. Meanwhile, oil gas is not found in wells such as LT1, TC1 and the like of the salt rock of the british system when drilling, which indicates that the oil gas distribution difference under the control of the capping capacity is larger. Therefore, the method selects the Tarim basin and the kam system salt rock as the research horizon, and evaluates the capping capacity of the Tarim basin and the kam system salt rock by using the quantitative evaluation method. The specific process is as follows:
wells revealing the graminaceous strata were selected at study area 14, and rock composition types were classified by seismic data, logging, etc. (see fig. 5). Statistical single-well lithology classification, data are shown in Table 4, and input lithology partition evaluation triangular plate (figures 2 and 3)
TABLE 4 Table 4
The single evaluation parameter data is subjected to assignment by using an evaluation parameter assignment table (i.e. table 3) according to the single evaluation parameter value or partition, and is brought into a formula (1) to be calculated, and the data, assignment and calculation results are shown in table 5.
TABLE 5
As shown by the evaluation results in Table 5, the blocking capacity value C of the cover layer of the salt rock of the chilly series paste in the Bachu region is between 2.49 and 4.17, the average value is 3.54, and the quality of the cover layer is good; the sealing capacity value C of the cover layer of the salt rock class of the chilblain system in the middle region of the tower is 1.5-2.6, the average value is 2.07, and the whole sealing capacity is in a general to poor level; the sealing capacity value C of the salt rock cover layer of the tower north uplift chills is less than 2, and the sealing capacity value C belongs to a poor cover layer.
It should be noted that, in order to determine the control effect of the capping self-sealing capability on the deep oil gas distribution, the reports such as single well synthetic histogram, well completion geological summary, etc. are combined, the single well oil gas display interval and thickness are counted, and the relative positions of the brined gypsum rock development layer and the oil gas display layer are divided into three types, namely, the sub-salt type and the main type on the salt type. Because the oil and gas reservoir condition under salt is complex, the oil and gas reservoir condition is possibly influenced by factors such as oil and gas sources, transmission and guide conditions and the like, wells such as 1, square 1, well 2, arbor and probe 1 and the like are not displayed with oil and gas, therefore, when the relationship between the sealing capacity of the gypsum and salt rock cover layer and the oil and gas display is analyzed, only the well with the oil and gas display is selected for comparison analysis.
The evaluation result has a certain positive correlation with the deep oil gas display of the Tarim basin in the current research area, namely the self-sealing capacity of the plaster salt rock type cover layer has a certain control function on the oil gas display, and the evaluation method is feasible for quantitatively evaluating the sealing capacity of the plaster salt rock type cover layer. Referring to FIG. 6, C values > 2, i.e., typically to good quality cap layers, are mostly shown for primary hydrocarbon under salt or under salt, while C values < 2, cap layer quality is poor and hydrocarbon is shown as salt-top.
The above-described embodiments are intended to illustrate the present invention, not to limit it, and any modifications and variations made thereto are within the spirit of the invention and the scope of the appended claims.

Claims (6)

1. A quantitative evaluation method for sealing capacity of a plaster-salt rock cover layer is characterized by comprising the following specific steps:
and (3) selecting an evaluation parameter: selecting lithology combination type, lithology partition, dominant lithology accumulated thickness, cover layer accumulated thickness, thick single layer maximum thickness and cover-ground ratio as evaluation parameters; lithology combination types are divided into three main lithology combinations of rock salt type, rock paste type and rock ash type according to the lithology proportion of a single well; dividing limestone with average breakthrough pressure less than 4MPa into other limestone, distinguishing the limestone from mudstone limestone and cream limestone, and dividing the mudstone limestone, the mudstone limestone and the other limestone into five areas A-E by taking the cream limestone, the cream stone limestone and the other limestone as three units in a limestone lithology partition evaluation triangular plate, wherein lithology of the areas A-E is gradually deteriorated; dividing mudcrystals Yun Yan with average breakthrough pressure greater than 4MPa in cloud rocks and other cloud rocks with average breakthrough pressure less than 4MPa from the cloud rocks, taking the cloud rocks with the average breakthrough pressure greater than 4MPa, the mud Yun Yan and the other cloud rocks as three units in a Yun Yan lithology partition evaluation triangular plate, dividing into five areas A-E, and gradually deteriorating lithology in the areas A-E;
and a weight determining step: taking cap layer sealing capability as a decision target, taking lithology and thickness as intermediate elements, taking evaluation parameters as an alternative scheme, and establishing a hierarchical structure model in AHP software; analyzing the hierarchical mechanism model through AHP software and generating a judgment matrix, comparing the evaluation parameters in pairs by the judgment matrix, and obtaining weight values of each evaluation parameter according to the scale of the judgment matrix or the input data of a right sliding bar of an adjusting module in the AHP software;
evaluation parameter assignment: describing and quantifying each evaluation parameter by adopting a fuzzy language to obtain each evaluation parameter assignment;
quantitative evaluation step: according to the weight value of each evaluation parameter and the assignment of each evaluation parameter, a quantitative evaluation model is established by a weighted average method, a comprehensive evaluation value C is calculated by the quantitative evaluation model, the sealing capacity of the plaster-salt rock type cover layer is evaluated according to the comprehensive evaluation value C, and the quantitative evaluation model is expressed as:
C=∑x i ×y i (1)
wherein x is i For the i-th evaluation parameter, y i The weight of the parameter is evaluated as the i-th item.
2. The method for quantitatively evaluating the blocking capacity of a cover layer of a cream-rock type according to claim 1, wherein in the evaluation parameter selection step, the salt-rock type includes a combination of rock type i and rock type ii, the cream-rock type includes a combination of rock type i and rock type ii, and the limestone type includes a combination of rock type i and rock type ii.
3. The quantitative evaluation method for the sealing capacity of the gypsum-salt rock cover layer according to claim 2, wherein the specific steps of dividing lithology combination types are as follows: dividing the combination with the salt rock content higher than that of the plaster rock into salt rock types according to the relative content of the plaster rock and the salt rock, dividing the salt rock content which is more than or equal to 40% into salt rock type I, and dividing the salt rock content which is less than 40% into salt rock type II; dividing the combination with the content of the plaster rock higher than that of the salt rock into plaster rock types, dividing the plaster rock with the content of mud rock more than or equal to 40% into plaster rock type I, and dividing the plaster rock with the content of mud rock less than 40% into plaster rock type II; dividing the limestone and mudstone content of more than or equal to 40 percent into a limestone type I, and dividing the limestone and mudstone content of less than 40 percent into a limestone type II.
4. The quantitative evaluation method for the sealing capacity of a gypsum-salt rock cover layer according to claim 1, wherein in the evaluation parameter selection step, the dominant lithology determination method comprises the following steps: and screening lithology with strong physical property sealing capacity by taking breakthrough pressure of 4MPa as a limit, and determining lithology with breakthrough pressure of more than 4MPa as dominant lithology.
5. The method for quantitatively evaluating the blocking capacity of a gypsum-salt rock cover layer according to claim 4, wherein in the evaluation parameter selection step, the thick monolayer is a monolayer with a thickness of more than 10m in dominant lithology.
6. The quantitative evaluation method of the sealing capacity of the gypsum-salt rock cover layer according to claim 1, wherein in the evaluation parameter assignment step, each evaluation parameter is described by adopting a fuzzy language and is divided into five grades, and the amplitude intervals are respectively (0, 1), (1, 2), (2, 3), (3, 4) and (4, 5), and the quantitative evaluation is carried out according to the numerical value of the single evaluation parameter to obtain the single evaluation parameter assignment.
CN202111412243.2A 2021-11-25 2021-11-25 Quantitative evaluation method for sealing capacity of gypsum-salt rock type cover layer Active CN114047547B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111412243.2A CN114047547B (en) 2021-11-25 2021-11-25 Quantitative evaluation method for sealing capacity of gypsum-salt rock type cover layer

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111412243.2A CN114047547B (en) 2021-11-25 2021-11-25 Quantitative evaluation method for sealing capacity of gypsum-salt rock type cover layer

Publications (2)

Publication Number Publication Date
CN114047547A CN114047547A (en) 2022-02-15
CN114047547B true CN114047547B (en) 2023-09-22

Family

ID=80211001

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111412243.2A Active CN114047547B (en) 2021-11-25 2021-11-25 Quantitative evaluation method for sealing capacity of gypsum-salt rock type cover layer

Country Status (1)

Country Link
CN (1) CN114047547B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115354992A (en) * 2022-08-31 2022-11-18 成都理工大学 Coal-series gas reservoir evaluation method based on lithology combination gas-bearing characteristics

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106948811A (en) * 2017-03-28 2017-07-14 中国石油大学(北京) Superimposed Basins dense carbonate cap rock covers the quantitatively characterizing method of performance
CN108343430A (en) * 2017-07-21 2018-07-31 中国石油大学胜利学院 Fault sealing property fuzzy mathematics comprehensive quantitative evaluation method
CN109187302A (en) * 2018-05-29 2019-01-11 中国石油大学(华东) A kind of effective seal rock THICKNESS CALCULATION method based on cap rock heterogeneity
CN110764159A (en) * 2018-07-26 2020-02-07 中国石油化工股份有限公司 Method for evaluating effectiveness of cover layer

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2912626C (en) * 2014-11-05 2018-02-13 China National Petroleum Corporation 3d trap evaluation method of searching for oil-gas reservoir
CN104376420A (en) * 2014-11-20 2015-02-25 中国石油天然气股份有限公司 Water breakthrough risk evaluation method and evaluation device for water-carrying gas reservoir gas well
CN107657365B (en) * 2017-09-08 2020-08-11 中国石油天然气股份有限公司 Geological resource exploitation value evaluation method and device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106948811A (en) * 2017-03-28 2017-07-14 中国石油大学(北京) Superimposed Basins dense carbonate cap rock covers the quantitatively characterizing method of performance
CN108343430A (en) * 2017-07-21 2018-07-31 中国石油大学胜利学院 Fault sealing property fuzzy mathematics comprehensive quantitative evaluation method
CN109187302A (en) * 2018-05-29 2019-01-11 中国石油大学(华东) A kind of effective seal rock THICKNESS CALCULATION method based on cap rock heterogeneity
CN110764159A (en) * 2018-07-26 2020-02-07 中国石油化工股份有限公司 Method for evaluating effectiveness of cover layer

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
周锋 等.天然气藏盖层封闭能力的模糊数学评价.《断块油气田》.2004,第11卷(第1期),第8-11页. *
季天愚 等.塔里木盆地台盆区寒武系盖层评价及对盖层有利区的优选.《中国地质》.2020,正文第1-18页. *

Also Published As

Publication number Publication date
CN114047547A (en) 2022-02-15

Similar Documents

Publication Publication Date Title
US10689954B1 (en) Research method of trajectory design and on-site tracking and adjustment of shale oil horizontal well
CN109061765B (en) Trap evaluation method for heterogeneous thin sandstone interbed reservoir
CN104747183B (en) A kind of carbonate reservoir compressive classification method
CN106869790B (en) A kind of quick fine geology guidance method of shale gas horizontal well
CN107703560B (en) shale lithofacies fine identification method based on triple information
CN110847901B (en) Method for identifying fluid of underwater compact sandstone reservoir in variable-salinity stratum
CN103993871B (en) Method and device for processing well logging information of thin interbed stratums in standardization mode
CN104612675A (en) Method for quickly recognizing carbonate formation lithologies while drilling
CN103527184A (en) Method and system for predicting dolomite reservoir
CN103437760B (en) A kind of method using array induction data Fast Evaluation oil-water-layer
Tian et al. Quantitative evaluation of key geological controls on regional Eagle Ford shale production using spatial statistics
CN114047547B (en) Quantitative evaluation method for sealing capacity of gypsum-salt rock type cover layer
CN105629327A (en) Lithogenous phase quantitative characterization method for weak adhesion bonds and deep compact sandstone reservoirs
CN105089662B (en) The bearing calibration of carbonate formation well logging composite columnar section and system
CN104516025A (en) Method for classifying and evaluating carbonate reservoir physical properties while drilling
CN115877447A (en) Reservoir prediction method for seismic restraint three-dimensional geological modeling under straight-flat combined well pattern condition
CN116168224A (en) Machine learning lithology automatic identification method based on imaging gravel content
Yu Hydraulic unit classification of un-cored intervals/wells and its influence on the productivity performance
CN113565494A (en) Judgment method for identifying effective continental facies shale oil and gas reservoir
CN112177605A (en) Method for determining main control factors of favorable gathering area of sea natural gas hydrate
CN116482757A (en) Stratum structure identification analysis method based on shallow well-logging earthquake combination
CN112765527A (en) Shale gas resource amount calculation method and system
CN110688781A (en) Well logging interpretation method for low-permeability heterogeneous gas reservoir
Lindzey et al. Lithological and petrophysical controls on production of the Mississippian limestone, northeastern Woods County, Oklahoma
CN115755215A (en) Geological knowledge guided intelligent oil and gas reservoir prediction 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