CN110632665B - Sand body configuration quantitative analysis method - Google Patents
Sand body configuration quantitative analysis method Download PDFInfo
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- CN110632665B CN110632665B CN201910793343.0A CN201910793343A CN110632665B CN 110632665 B CN110632665 B CN 110632665B CN 201910793343 A CN201910793343 A CN 201910793343A CN 110632665 B CN110632665 B CN 110632665B
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- 239000004576 sand Substances 0.000 title claims abstract description 112
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000004445 quantitative analysis Methods 0.000 title claims abstract description 13
- 238000000342 Monte Carlo simulation Methods 0.000 claims abstract description 10
- 238000010586 diagram Methods 0.000 claims abstract description 8
- 238000004458 analytical method Methods 0.000 claims description 7
- 230000008021 deposition Effects 0.000 claims description 6
- 208000035126 Facies Diseases 0.000 claims description 3
- 125000004122 cyclic group Chemical group 0.000 claims description 3
- 239000011435 rock Substances 0.000 claims description 3
- 230000037237 body shape Effects 0.000 claims 1
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 230000007480 spreading Effects 0.000 description 2
- 238000012512 characterization method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 239000013049 sediment Substances 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/30—Analysis
- G01V1/306—Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/61—Analysis by combining or comparing a seismic data set with other data
- G01V2210/616—Data from specific type of measurement
- G01V2210/6169—Data from specific type of measurement using well-logging
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Abstract
The invention provides a sand body configuration quantitative analysis method, which comprises the following steps: identifying a study area gyrus interface; determining a sand body configuration interface according to the gyrating interface; analyzing the sand body configuration interface to obtain single-well sand body configuration elements and contact relations; combining the single-well sand body configuration elements and the contact relation to obtain a longitudinal sand body splicing relation; predicting the transverse sand body splicing relation according to the longitudinal sand body splicing relation; obtaining a sand body plane distribution diagram according to the longitudinal sand body splicing relation and the transverse sand body splicing relation; and (3) according to the sand body plane distribution diagram, utilizing Monte Carlo simulation to realize fine depiction of the sand body form and scale. The invention has the beneficial effects that: the problem of determining the sand body configuration parameters under the condition of less constraint can be solved.
Description
Technical Field
The invention relates to the technical field of mining, in particular to a sand body configuration quantitative analysis method.
Background
In the process of oil reservoir development, the research on the internal configuration of a reservoir sand body, particularly a single sand body, is of great significance to the research on the distribution of residual oil. Therefore, the development of fine research on the internal configuration of sand bodies has become an important direction for reservoir research in recent years. The main contents of the sand body configuration research generally comprise a configuration interface, configuration elements, sand body overlapping relation and extension range.
A plurality of scholars conduct detailed research on the aspects of single river channel and point dam identification, lateral volume quantitative characterization, river channel evolution analysis and the like, and provide basis for the close well network to finely depict reservoir configurations of different levels by utilizing geological data such as field outcrop, modern sediment and the like, but due to the uncertainty of inter-well sand body depicting, the research is conducted on the fine depicting of river channel characteristics of a thin well zone (large well spacing).
The seismic sedimentology has great advantages in the aspect of depicting the transverse spreading characteristics and the longitudinal evolution of sedimentary bodies, can be used for finely determining the boundaries of sand bodies, and is favorable for determining the transverse spreading characteristics and the configuration characteristics of the sand bodies among wells of a dilute well zone. In addition, methods such as dynamic combination and numerical simulation are also applied to reservoir configuration research. The research on the sand body configuration under the condition of no seismic data control is lacked at present.
Disclosure of Invention
In order to solve the problems, the invention provides a sand body configuration quantitative analysis method, which mainly comprises the following steps:
s101: identifying a gyrus interface of a research area according to a preliminary sedimentary facies research result by combining a rock core observation method and a logging interpretation method;
s102: dividing the research horizon according to the cyclic interface of the research area to determine a sand body configuration interface;
s103: carrying out microphase analysis on the sand body configuration interface, and determining the single-well sand body configuration elements and the contact relation thereof;
s104: combining the single-well sand body configuration elements and the contact relationship thereof to obtain a longitudinal sand body splicing relationship;
s105: predicting to obtain a transverse sand body splicing relation according to the longitudinal sand body splicing relation;
s106: finishing a sand body plane distribution map according to the transverse sand body splicing relation and the longitudinal sand body splicing relation;
s107: and substituting the actual data sample into Monte Carlo simulation in combination with the sand body plane distribution diagram to realize fine depiction of the sand body form and scale.
Further, step S103 specifically includes: and carrying out microphase analysis on the single well and well connecting sections of the sand body configuration interface, carrying out configuration element division on the single well according to well lithology combination and electrical logging curve characteristics, and determining the single well sand body configuration elements and the contact relation thereof.
Further, step S104 specifically includes: and (4) statistically calculating the thickness, the layer thickness ratio and the overlapping relation probability of each configuration element of the single-well sand body to obtain the splicing relation of the longitudinal sand bodies.
Further, step S105 specifically includes: and according to the longitudinal sand body splicing relation, combining well spacing, and predicting and simulating the extension width and splicing probability of each sand body on a transverse section by using a Walter phase law, an equiprobable principle and a Monte Carlo simulation method to obtain the transverse sand body splicing relation.
Further, step S106 specifically includes simulating an extension range and a splicing probability of each sand body between the cross sections by using a monte carlo simulation method according to the horizontal sand body splicing relationship and the longitudinal sand body splicing relationship, and completing the sand body plane distribution diagram.
Further, in step S107, the specific manner of acquiring the actual data sample is as follows: and obtaining an actual data sample of the sand body configuration by using the existing deposition data, the similar oil reservoir data and the actual configuration data of the earth surface outcrop.
The existing deposition data comprising a length and a width of an observable statistical configuration element; the similar reservoir data including length, width and thickness of a conformational element that can be interpreted by both seismic and well logging; the surface outcrop data comprises the width and thickness of observable statistical configuration elements; and the sand body configuration actual data samples comprise an aspect ratio and an aspect ratio.
The technical scheme provided by the invention has the beneficial effects that: the problem of determining the sand body configuration parameters under the condition of less constraint can be solved.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
fig. 1 is a flow chart of a sand body configuration quantitative analysis method in the embodiment of the invention.
Detailed Description
For a more clear understanding of the technical features, objects and effects of the present invention, embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
The embodiment of the invention provides a sand body configuration quantitative analysis method.
Referring to fig. 1, fig. 1 is a flowchart of a sand body configuration quantitative analysis method in an embodiment of the present invention, which specifically includes the following steps:
s101: identifying a gyrus interface of a research area according to a preliminary sedimentary facies research result by combining a rock core observation method and a logging interpretation method;
s102: dividing the research horizon according to the cyclic interface of the research area to determine a sand body configuration interface;
s103: carrying out microphase analysis on the sand body configuration interface, and determining the single-well sand body configuration elements and the contact relation thereof;
s104: combining the single-well sand body configuration elements and the contact relationship thereof to obtain a longitudinal sand body splicing relationship;
s105: predicting to obtain a transverse sand body splicing relation according to the longitudinal sand body splicing relation;
s106: finishing a sand body plane distribution map according to the transverse sand body splicing relation and the longitudinal sand body splicing relation;
s107: and substituting the actual data sample into Monte Carlo simulation in combination with the sand body plane distribution diagram to realize fine depiction of the sand body form and scale.
Step S103 specifically includes: and carrying out microphase analysis on the single well and well connecting sections of the sand body configuration interface, carrying out configuration element division on the single well according to well lithology combination and electrical logging curve characteristics, and determining the single well sand body configuration elements and the contact relation thereof.
Step S104 specifically includes: and (4) statistically calculating the thickness, the layer thickness ratio and the overlapping relation probability of each configuration element of the single-well sand body to obtain the splicing relation of the longitudinal sand bodies.
Step S105 specifically includes: and according to the longitudinal sand body splicing relation, combining well spacing, and predicting and simulating the extension width and splicing probability of each sand body on a transverse section by using a Walter phase law, an equiprobable principle and a Monte Carlo simulation method to obtain the transverse sand body splicing relation.
And S106, simulating the extension range and the splicing probability of each sand body between the sections by using a Monte Carlo simulation method according to the transverse sand body splicing relation and the longitudinal sand body splicing relation, and completing the plane distribution diagram of the sand bodies.
In step S107, the specific manner of acquiring the actual data sample is as follows: and obtaining an actual data sample of the sand body configuration by using the existing deposition data, the similar oil reservoir data and the actual configuration data of the earth surface outcrop.
The existing deposition data comprising a length and a width of an observable statistical configuration element; the similar reservoir data including length, width and thickness of a conformational element that can be interpreted by both seismic and well logging; the surface outcrop data comprises the width and thickness of observable statistical configuration elements; and the sand body configuration actual data samples comprise an aspect ratio and an aspect ratio.
The invention has the beneficial effects that: the problem of determining the sand body configuration parameters under the condition of less constraint can be solved.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (5)
1. A sand body configuration quantitative analysis method is characterized in that: the method comprises the following steps:
s101: identifying a gyrus interface of a research area according to a preliminary sedimentary facies research result by combining a rock core observation method and a logging interpretation method;
s102: dividing the research horizon according to the cyclic interface of the research area to determine a sand body configuration interface;
s103: and (3) carrying out microphase analysis on the sand body configuration interface to determine the single-well sand body configuration elements and the contact relation thereof, specifically comprising the following steps:
carrying out microphase analysis on the single well and well connecting sections of the sand body configuration interface, carrying out configuration element division on the single well according to well lithology combination and electrical logging curve characteristics, and determining the single well sand body configuration elements and the contact relation thereof;
s104: combining the single-well sand body configuration elements and the contact relationship thereof to obtain a longitudinal sand body splicing relationship;
s105: predicting to obtain a transverse sand body splicing relation according to the longitudinal sand body splicing relation;
s106: finishing a sand body plane distribution map according to the transverse sand body splicing relation and the longitudinal sand body splicing relation;
s107: substituting the actual data sample into Monte Carlo simulation in combination with the sand body plane distribution diagram to realize fine depiction of the sand body shape and scale;
and according to the longitudinal sand body splicing relation, combining well spacing, and predicting and simulating the extension width and splicing probability of each sand body on a transverse section by using a Walter phase law, an equiprobable principle and a Monte Carlo simulation method to obtain the transverse sand body splicing relation.
2. The sand body configuration quantitative analysis method as claimed in claim 1, characterized in that: step S104 specifically includes: and (4) statistically calculating the thickness, the layer thickness ratio and the overlapping relation probability of each configuration element of the single-well sand body to obtain the splicing relation of the longitudinal sand bodies.
3. The sand body configuration quantitative analysis method as claimed in claim 1, characterized in that: and S106, simulating the extension range and the splicing probability of each sand body between the sections by using a Monte Carlo simulation method according to the transverse sand body splicing relation and the longitudinal sand body splicing relation, and completing the plane distribution diagram of the sand bodies.
4. The sand body configuration quantitative analysis method as claimed in claim 1, characterized in that: in step S107, the specific manner of acquiring the actual data sample is as follows: and obtaining an actual data sample of the sand body configuration by using the existing deposition data, the similar oil reservoir data and the actual configuration data of the earth surface outcrop.
5. The sand body configuration quantitative analysis method as claimed in claim 4, characterized in that: the existing deposition data comprising a length and a width of an observable statistical configuration element; the similar reservoir data including length, width and thickness of a conformational element that can be interpreted by both seismic and well logging; the surface outcrop data comprises the width and thickness of observable statistical configuration elements; and the sand body configuration actual data samples comprise an aspect ratio and an aspect ratio.
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US10816684B2 (en) * | 2017-02-02 | 2020-10-27 | Exxonmobil Upstream Research Company | Method for rapid calibration of seismic interval attributes to rock properties for assessment uncertainty |
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CN106437690A (en) * | 2015-08-07 | 2017-02-22 | 中国石油天然气股份有限公司 | Method and device for determining three-dimensional spatial distribution of trigonal facies of braided river |
CN105373648B (en) * | 2015-10-09 | 2018-10-12 | 西南石油大学 | A kind of modeling method of sand-mud interbed type lithosomic body reservoir architecture |
CN108957549A (en) * | 2018-06-26 | 2018-12-07 | 中国石油天然气股份有限公司 | Braided river sediment heterogeneous compact sandstone gas reservoir geological modeling method |
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