CN106291748A - A kind of method obtaining content of organic carbon of hydrocarbon source rock - Google Patents
A kind of method obtaining content of organic carbon of hydrocarbon source rock Download PDFInfo
- Publication number
- CN106291748A CN106291748A CN201510363350.9A CN201510363350A CN106291748A CN 106291748 A CN106291748 A CN 106291748A CN 201510363350 A CN201510363350 A CN 201510363350A CN 106291748 A CN106291748 A CN 106291748A
- Authority
- CN
- China
- Prior art keywords
- organic carbon
- carbon content
- individual well
- well
- log data
- 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.)
- Pending
Links
Landscapes
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention discloses a kind of method obtaining content of organic carbon of hydrocarbon source rock, said method comprising the steps of: obtain sample organic carbon content measured data and the log data of individual well;The organic carbon content obtaining described individual well is calculated according to described sample organic carbon content and described log data;With the organic carbon content of described individual well for constraint, obtain section, space nodes organic carbon content according to the geologic interpretation performance data Inversion Calculation of geological data, earthquake.Compared with prior art, the section of content of organic carbon of hydrocarbon source rock, space distribution situation in study area can be done quantitative Analysis by the method according to the invention, such that it is able to more rationally, accurately evaluation study district hydrocarbon source rock, provide reliable data support for rational evaluation study area Resources Prospect.
Description
Technical field
The present invention relates to geological exploration field, in particular relate to a kind of method obtaining content of organic carbon of hydrocarbon source rock.
Background technology
During geological prospecting, organic carbon content analysis be in oil-gas exploration the important process of Evaluation of source rocks it
One.
In the prior art, the analytical calculation for content of organic carbon of hydrocarbon source rock is typically to first pass through limited sample
Experimental test and analysis, then is further analyzed calculating according to the result of test analysis.Most common of which
Method is that the resistivity in the well-log information utilizing drilling well, interval transit time and density carry out calculating acquisition hydrocarbon source rock
Organic carbon content.Mathematical model is:
TOC=(a × lgR+b × AC+c)/DEN (1)
Wherein: TOC is organic carbon content, R is resistivity, and AC is interval transit time, and DEN is density, a,
B, c are constant.
Ask for the parameter in model in the prior art typically by regression Calculation analysis, thus calculate acquisition and have
Machine carbon content.
The premise performing said method is to first have to obtain the well-log information of hydrocarbon source rock, and this allows for utilizing above-mentioned side
Method can only carry out the acquisition of organic carbon content to the hydrocarbon source rock in the subrange having well-log information, greatly limit
The range of application of method.
For not having the low exploration activity field region of drilling well, the method being usually taken at present is to pass through Seismic reflection character
And the analysis of seimic wave velocity carries out the qualitative description of organic carbon content, and cannot quantitatively obtain section, plane or
Organic carbon content spatially.This results in the evaluation for study area hydrocarbon source rock cannot obtain the most accurate number
According to support, it is impossible to the reasonable exact evaluation of hydrocarbon source rock in realization district.
Therefore, the problem existed for content of organic carbon of hydrocarbon source rock acquisition methods in prior art, need a kind of new
Obtain content of organic carbon of hydrocarbon source rock method.
Summary of the invention
The problem existed for content of organic carbon of hydrocarbon source rock acquisition methods in prior art, the invention provides one
The method obtaining content of organic carbon of hydrocarbon source rock, said method comprising the steps of:
Obtain sample organic carbon content and the log data of individual well;
The organic carbon calculating the described individual well of acquisition according to described sample organic carbon content and described log data contains
Amount;
With the organic carbon content of described individual well for constraint, according to geological data, the geologic interpretation of described geological data
Performance data Inversion Calculation obtains section, the organic carbon content of space nodes.
In one embodiment, during calculating the organic carbon content obtaining described individual well:
With described sample organic carbon content as dependent variable, obtaining described sample with described log data for independent variable has
The first fit correlation between machine carbon content and described log data;
Utilize described first fit correlation, according to described log data, calculate and obtain described individual well longitudinally each joint
The organic carbon content of point.
In one embodiment, during obtaining described first fit correlation, former based on least square fitting
Reason carries out multiple linear regression to obtain described first fit correlation.
In one embodiment, during obtaining described first fit correlation:
Described sample organic carbon content and described log data are carried out correlation analysis to select described well logging number
With the described sample relatively good log data of organic carbon content dependency according to, with described in described log data
The relatively good log data of sample organic carbon content dependency includes deep resistance, interval transit time and/or density;
Obtain in described sample organic carbon content and described log data with described sample organic carbon content dependency
The first fit correlation between relatively good log data.
In one embodiment, obtain the organic carbon content of described section, space nodes in Inversion Calculation during:
Calculate the acoustic impedance obtaining described individual well;
The organic carbon content of the acoustic impedance of described individual well Yu described individual well is carried out correlation analysis described to obtain
The second fit correlation between acoustic impedance and the organic carbon content of described individual well of individual well;
According to described geological data, described geologic interpretation performance data, by the acoustic impedance of described individual well and well lie
Geological data carries out correlated fitting to obtain the 3rd fit correlation;
Described section, space is obtained based on described second fit correlation and described 3rd fit correlation Inversion Calculation
The organic carbon content of node.
In one embodiment, utilize the interval transit time of described individual well, density value log data to calculate and obtain described list
The acoustic impedance of well.
In one embodiment, described 3rd fit correlation shows as the acoustic impedance of described individual well and the wave resistance of well lie
Fit correlation between Kang.
In one embodiment, during obtaining described 3rd fit correlation, by repeatedly adjusting described individual well
Log data parameter and the layering of described geological data, phase parameter between corresponding relation optimize described list
Dependency between acoustic impedance and the natural impedance of described well lie of well thus obtain and meet the described of particular demands
3rd fit correlation.
In one embodiment, during Inversion Calculation obtains the organic carbon content of described section, space nodes,
Described section, the natural impedance of space nodes and the natural impedance of described well lie is obtained based on Sparse Pulse Inversion.
In one embodiment, during obtaining described 3rd fit correlation, utilize well shake demarcation, sparse arteries and veins
Rush repeatedly inverting to the dependency that optimizes between the acoustic impedance of described individual well and described well lie natural impedance to obtain
Meet described 3rd fit correlation of particular demands.
Compared with prior art, content of organic carbon of hydrocarbon source rock in study area can be cutd open by the method according to the invention
Face, space distribution situation do quantitative Analysis, such that it is able to more rationally, accurately evaluation study district hydrocarbon source rock, for
Rational evaluation study area Resources Prospect provides reliable data support.
The further feature of the present invention or advantage will illustrate in the following description.Further, the part of the present invention is special
Levy or advantage will be become apparent by description, or be appreciated that by implementing the present invention.The present invention
Purpose and certain advantages can be come by step specifically noted in description, claims and accompanying drawing
Realize or obtain.
Accompanying drawing explanation
Accompanying drawing is for providing a further understanding of the present invention, and constitutes a part for description, with the present invention
Embodiment be provided commonly for explain the present invention, be not intended that limitation of the present invention.In the accompanying drawings:
Fig. 1 is flow chart according to an embodiment of the invention;
Fig. 2 is the individual well organic carbon content figure obtained according to one embodiment of the invention;
Fig. 3 is the two dimensional cross-section organic carbon content scattergram obtained according to one embodiment of the invention.
Detailed description of the invention
Embodiments of the present invention are described in detail, whereby the enforcement of the present invention below with reference to drawings and Examples
Personnel can fully understand how application technology means are to solve technical problem for the present invention, and reaches technique effect
Realize process and be embodied as the present invention according to the above-mentioned process that realizes.As long as it should be noted that do not constitute conflict,
Each embodiment in the present invention and each feature in each embodiment can be combined with each other, the technology formed
Scheme is all within protection scope of the present invention.
The problem existed for content of organic carbon of hydrocarbon source rock acquisition methods in prior art, the present invention proposes one
The method obtaining content of organic carbon of hydrocarbon source rock.The method of the present invention quantitatively obtains with individual well content of organic carbon of hydrocarbon source rock
Based on, utilize log data that the constraint of geological data is carried out Sparse Pulse Inversion, in structure, sedimentation
Under the constraint of model, section, space scale quantitatively obtain content of organic carbon of hydrocarbon source rock distribution.
Next the execution flow process according to one embodiment of the invention is specifically described based on accompanying drawing.The flow chart of accompanying drawing
Shown in step can perform in the computer system comprising such as one group of computer executable instructions.Although
Show the logical order of each step in flow charts, but in some cases, can be to be different from herein
Step shown or described by order execution.
The method performing the present invention, first has to obtain individual well content of organic carbon of hydrocarbon source rock.Present invention improves over existing
The acquisition methods of the individual well content of organic carbon of hydrocarbon source rock in technology.In the present embodiment, contain according to sample organic carbon
The log data of amount measured data and individual well calculates acquisition individual well content of organic carbon of hydrocarbon source rock.As it is shown in figure 1,
Step S101 and step S102 are first carried out, obtain sample organic carbon content (measured data) and individual well
Log data.Next just can obtain for independent variable with sample organic carbon content as dependent variable with log data
Take the fit correlation between sample organic carbon content and log data.
Due in step s 102, the log data of individual well comprise deep resistance, natural gamma, interval transit time,
Multinomial different types of parameter such as density, is not wherein that each parameter is all close with the organic carbon content of sample
Relevant.If the fit correlation set up between the parameter of all kinds and the organic carbon content of sample, certainly will cause
Substantial amounts of redundant computation.Therefore, the most next execution step S111, correlation analysis step,
Sample organic carbon content and log data are carried out correlation analysis with select in log data with sample organic carbon
The relatively good log data of content dependency.
In step S111, set up actual measurement individual well rock core or chip sample organic carbon content test data and well logging
Data correspondence table.Wherein, if using the deep resistance data of well logging need to use its natural logrithm value.In this enforcement
In example, the analysis result of step S111 shows, in log data with sample organic carbon content dependency relatively
Good log data includes deep resistance, interval transit time and density.
Next perform step S112, obtain fit correlation step.Obtain sample organic carbon content and log data
In and the relatively good log data of sample organic carbon content dependency between fit correlation, i.e. obtain sample have
The deep resistance of machine carbon content, fit correlation between interval transit time and density.
In the present embodiment, based on experimental data, the formula 1 of prior art is improved to obtain sample organic
The deep resistance of carbon content, fit correlation between interval transit time and density.Concrete, intend according to method of least square
Close principle, with sample organic carbon content TOC as dependent variable, with the log data (deep resistance, the sound that preferably go out
The ripple time difference and density) it is independent variable, carry out multiple linear regression.Formula after improvement is as follows:
TOC=a1×lg(lls)+b1×AC+c1×DEN+d1 (2)
Wherein: lls is deep resistance log data, AC is acoustic travel time logging data, and DEN is density log number
According to;a1、b1、c1、d1It is respectively the fitting coefficient of each independent variable.Compared to formula (1), formula (2) is more
Add the Inversion Calculation after meeting practical logging situation and being convenient for.
In whole fit procedure, by the judgement of the coefficient of determination R of matching dependency is obtained optimal fitting
Effect.| R | is closer to 1, shows that the relation of matching is the best, and the organic carbon content value thus calculated more is closed
Reason.
Next just can perform step S120, obtain individual well organic carbon content.In the step s 120, utilize
The fit correlation of formula (2), according to log data (deep resistance, interval transit time, density parameter), calculating obtains
Take the organic carbon content of individual well longitudinally each node;
Next the most just can be with the organic carbon content of individual well for constraint, Inversion Calculation acquisition section, space nodes
Organic carbon content.
In the present invention, first fit correlation between the organic carbon content of matching individual well and the acoustic impedance of individual well;So
After the earthquake number of acoustic impedance and individual well well lie of geologic interpretation performance data matching individual well based on geological data
According to fit correlation.The most also the ground of organic carbon content and the individual well well lie having got individual well it is equivalent to
Fit correlation between shake data.Above-mentioned relation is expanded to the geologic province of wide scope, i.e. can be deformed into geological province
The section in territory, space nodes organic carbon content and the section of geologic province, space nodes geological data between plan
Conjunction relation.Further, it is possible to utilize the section of geologic province, the geological data of space nodes calculates and obtains
The corresponding section of geologic province, the organic carbon content of space nodes.
In the present embodiment, calculate for convenience, introduce seismic impedance when obtaining fit correlation (for side
Just describe, hereinafter referred to as natural impedance).I.e. in above-mentioned fit procedure, the acoustic impedance of matching individual well and individual well
Fit correlation between the natural impedance of well lie, further, it is possible to utilize the section of geologic province, space joint
The natural impedance of point calculates and obtains the corresponding section of geologic province, the organic carbon content of space nodes.
Concrete, the first fit correlation between the organic carbon content of matching individual well and the acoustic impedance of individual well.Perform step
Rapid S131, obtains individual well acoustic impedance.In this step, the interval transit time of individual well, density value log data are utilized
Calculating the acoustic impedance obtaining individual well, formula is as follows:
WELLAI=DEN × V (3)
Wherein: WELLAIFor individual well acoustic impedance, DEN is well logging density, and V is velocity of wave.
Then perform step S132, the organic carbon content of the acoustic impedance of individual well Yu individual well is carried out correlation analysis with
Obtain the fit correlation between acoustic impedance and the organic carbon content of individual well of individual well.Formula is as follows:
TOC=a2×WELLAI 2+b2×WELLAI+c2 (4)
Wherein: TOC is individual well organic carbon content value;a2、b2、c2It is fitting coefficient.
In whole fit procedure, by the judgement of the coefficient of determination R of matching dependency is obtained optimal fitting
Effect.| R | is closer to 1, shows that the relation of matching is the best, and the fitting effect reaching relatively optimum shows permissible
Individual well organic carbon content value is used to carry out retraining inverting.
Then the fit correlation between the acoustic impedance of matching individual well and the natural impedance of individual well well lie.At the present embodiment
In, according to geological data, the geologic interpretation performance data of geological data, by the acoustic impedance of individual well and well lie ground
Shake data carry out correlated fitting with the fit correlation between the natural impedance of the acoustic impedance and individual well well lie that obtain individual well.
Perform step S141 and S142, obtain geological data and the geologic interpretation performance data of geological data.
Next perform step S143, obtain the natural impedance of well lie.The present embodiment obtains ripple based on Sparse Pulse Inversion
Impedance, concrete, utilize the Sparse Pulse Inversion module in JASON software to obtain natural impedance.
Perform step S144 afterwards, obtain the matching between the acoustic impedance of individual well and the natural impedance of individual well well lie and close
System.In step S144, by the layering of log data parameter with geological data repeatedly adjusting individual well, phase
The isoparametric corresponding relation in position adjusts the dependency of individual well acoustic impedance and individual well well lie natural impedance.Concrete,
I.e. utilize well shake demarcation, Sparse Pulse to carry out repeatedly inverting, finally give the sound of the individual well meeting specific dependency
Fit correlation between the natural impedance of impedance and individual well well lie.The formula describing dependency is as follows:
WELLAI=a3×SEISAI+b3 (5)
Wherein: WELLAIFor individual well acoustic impedance;SEISAIFor the natural impedance being finally inversed by;a3、b3It is matching system
Number.
In whole fit procedure, by the judgement of the coefficient of determination R of matching dependency is obtained optimal fitting
Effect.| R | is closer to 1, shows that the relation of matching is the best, and the fitting effect reaching relatively optimum shows permissible
Utilize the acoustic impedance of this individual well and the relation of organic carbon content to predict reference section, the organic carbon of space nodes contains
Value.
Then, it is possible to perform step S145, section, the natural impedance of space nodes are obtained.Based on Sparse Pulse
Inverting obtains seismic profile, the natural impedance of space nodes.
Finally perform step S150, obtain section, space nodes organic carbon content.In step S150, logical
Crossing the formula (4) and formula (5) obtained, the seismic impedance data being obtained by inverting calculate organic carbon content
Formula (6).
TOC=A × SEISAI 2+B×SEISAI+C (6)
Wherein: TOC is organic carbon content;
SEISAIFor seismic inversion natural impedance;
Coefficient A=a2×a3 2, B=2a2×a3×b3+a3×b2, C=a2×b3 2+b2×b3+c2。
Based on formula (6), based on calculating acquisition section TOC, (x, y) (organic carbon of two dimensional cross-section node contains
Amount), space TOC (x, y, z) (organic carbon content of three dimensions node) ((x, y) and (x, y z) divide
Wei node coordinate on two dimensional cross-section and three dimensions).
Next the implementation effect of the present invention is described based on a concrete application examples.As a example by certain rift individual well, as
Shown in Fig. 2, Fig. 2 is divided into eight list boxes, and it is followed successively by from left to right: geologic horizon (the A group layer of drilling well
Position and B group layer position), the degree of depth, density (DEN, with dashed curve describe) log data and GR (GR,
Describe with block curve) log data, lithological profile figure, deep resistance (lls, with dashed curve describe) and sound
The ripple time difference (AC describes with block curve) log data, organic carbon content value of calculation (calculate toc, with reality
Line curve is described) divide with organic carbon content measured value (actual measurement toc, describe with dashed line segment), sedimentary subfacies
Analysis, SEDIMENTARY FACIES ANALYSIS.
Calculating toc hurdle in Fig. 2 is to be calculated by fitting formula (7) and obtain, and calculates toc as seen from Figure 2
Substantially keep consistent with actual measurement toc.By calculating toc, (sedimentary subfacies analysis, sedimentary facies are divided with variation of lithological simultaneously
Analysis) correlation analysis it is also seen that calculate toc maintain relatively good reasonability.Thus prove, root
Correctness according to the individual well longitudinal direction organic carbon content that the method for the present invention obtains.
Continue as a example by certain rift individual well.As it is shown on figure 3, Fig. 3 is the two dimension that the method according to the present invention obtains
Section organic carbon content scattergram.Fig. 3 make use of the legend scale that color changes, and expresses organic carbon content value
The change of certain scope, gives expression to the organic carbon content of each node on section by different colours combined sequence
Value.As seen from Figure 3, quickly, this meets reality in the change of horizontal and vertical upper content of organic carbon of hydrocarbon source rock value
Situation about being controlled by geological conditions aeolotropic characteristics in border and cause.Thus demonstrate having of the method for the present invention
Effect property.
To sum up, the present invention, on the geological model analysis foundation such as (construct, deposition), is changed by foundation with surveying
Data and the quantitative dependency relation of well-log information, quantitative Analysis drilling well content of organic carbon of hydrocarbon source rock, thus clearly bore
The situation of change of well hydrocarbon source rock longitudinal direction organic carbon content value.Further, utilize drilling well longitudinal direction organic carbon content fixed
Amount result of calculation is as constraints, and preferably earthquake property value obtains section, space hydrocarbon source rock organic carbon with inverting
Content quantitative distribution situation.
It is reasonable for study area target series of strata content of organic carbon of hydrocarbon source rock that the present invention not only achieves in oil-gas exploration
Quantitative Analysis.And breach the situation of the only quantitative Analysis in drilling well in prior art, can be by ground
Shake data quantitative Analysis organic carbon content is in section (two-dimentional), the distribution of space (three-dimensional).
The distribution of the content of organic carbon of hydrocarbon source rock that the method according to the invention obtains, can quantitatively, reasonably calculate
The hydrocarbon amount of study area hydrocarbon source rock, before breaking through, rough estimation or sxemiquantitative calculate the office of computing hydrocarbon generating quantity of source
Limit, hydrocarbon potentiality and the distribution of study area main hydrocarbon for rational evaluation hydrocarbon source rock provide accurate, quantitative
Foundation.It addition, along with current unconventional resource, such as shale oil, the demand of the exploration of gas, the present invention is solved
Quantitative Analysis section, the situation of change of space content of organic carbon of hydrocarbon source rock value, can be unconventionaloil pool exploration
The shale interval of middle searching high organic abundance provides help, can become the evaluation of the Resources Prospect of shale oil gas
One of effective technology method.
While it is disclosed that embodiment as above, but described content is only to facilitate understand the present invention
And the embodiment used, it is not limited to the present invention.Method of the present invention also can have other multiple realities
Execute example.Without departing from the spirit of the present invention, those of ordinary skill in the art are when making according to the present invention
Go out various corresponding change or deformation, but these change accordingly or deform the claim that all should belong to the present invention
Protection domain.
Claims (10)
1. the method obtaining content of organic carbon of hydrocarbon source rock, it is characterised in that described method includes following step
Rapid:
Obtain sample organic carbon content and the log data of individual well;
The organic carbon calculating the described individual well of acquisition according to described sample organic carbon content and described log data contains
Amount;
With the organic carbon content of described individual well for constraint, according to geological data, the geologic interpretation of described geological data
Performance data Inversion Calculation obtains section, the organic carbon content of space nodes.
Method the most according to claim 1, it is characterised in that obtain the organic of described individual well calculating
During carbon content:
With described sample organic carbon content as dependent variable, obtaining described sample with described log data for independent variable has
The first fit correlation between machine carbon content and described log data;
Utilize described first fit correlation, according to described log data, calculate and obtain described individual well longitudinally each joint
The organic carbon content of point.
Method the most according to claim 2, it is characterised in that obtaining described first fit correlation
During, carry out multiple linear regression to obtain described first fit correlation based on least square fitting principle.
The most according to the method in claim 2 or 3, it is characterised in that close obtaining described first matching
During system:
Described sample organic carbon content and described log data are carried out correlation analysis to select described well logging number
With the described sample relatively good log data of organic carbon content dependency according to, with described in described log data
The relatively good log data of sample organic carbon content dependency includes deep resistance, interval transit time and/or density;
Obtain in described sample organic carbon content and described log data with described sample organic carbon content dependency
The first fit correlation between relatively good log data.
5. according to the method according to any one of claim 1-4, it is characterised in that obtain institute in Inversion Calculation
During stating the organic carbon content of section, space nodes:
Calculate the acoustic impedance obtaining described individual well;
The organic carbon content of the acoustic impedance of described individual well Yu described individual well is carried out correlation analysis described to obtain
The second fit correlation between acoustic impedance and the organic carbon content of described individual well of individual well;
According to described geological data, described geologic interpretation performance data, by the acoustic impedance of described individual well and well lie
Geological data carries out correlated fitting to obtain the 3rd fit correlation;
Described section, space is obtained based on described second fit correlation and described 3rd fit correlation Inversion Calculation
The organic carbon content of node.
Method the most according to claim 5, it is characterised in that utilize described individual well interval transit time,
Density value log data calculates the acoustic impedance obtaining described individual well.
7. according to the method described in claim 5 or 6, it is characterised in that described 3rd fit correlation performance
For the fit correlation between acoustic impedance and the natural impedance of well lie of described individual well.
Method the most according to claim 7, it is characterised in that obtaining described 3rd fit correlation
During, joined with the layering of described geological data, phase place by the log data parameter repeatedly adjusting described individual well
It is relevant that corresponding relation between number optimizes between the acoustic impedance of described individual well and the natural impedance of described well lie
Property thus obtain and meet described 3rd fit correlation of particular demands.
Method the most according to claim 8, it is characterised in that Inversion Calculation obtain described section,
During the organic carbon content of space nodes, obtain described section, space nodes based on Sparse Pulse Inversion
Natural impedance and the natural impedance of described well lie.
Method the most according to claim 9, it is characterised in that obtaining described 3rd fit correlation
During, utilize well shake demarcation, Sparse Pulse repeatedly inverting to optimize by acoustic impedance and the described well of described individual well
Dependency between road natural impedance meets described 3rd fit correlation of particular demands to obtain.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510363350.9A CN106291748A (en) | 2015-06-26 | 2015-06-26 | A kind of method obtaining content of organic carbon of hydrocarbon source rock |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510363350.9A CN106291748A (en) | 2015-06-26 | 2015-06-26 | A kind of method obtaining content of organic carbon of hydrocarbon source rock |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106291748A true CN106291748A (en) | 2017-01-04 |
Family
ID=57651114
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510363350.9A Pending CN106291748A (en) | 2015-06-26 | 2015-06-26 | A kind of method obtaining content of organic carbon of hydrocarbon source rock |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106291748A (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108107482A (en) * | 2017-12-12 | 2018-06-01 | 北京师范大学 | Hydrocarbon source rock multiparameter prediction method and system under a kind of condition of less wells |
CN110763819A (en) * | 2018-07-26 | 2020-02-07 | 中国石油化工股份有限公司 | Establishment method of dynamic quantitative evaluation system for hydrocarbon source rock effectiveness, evaluation system and application |
CN114961708A (en) * | 2021-02-18 | 2022-08-30 | 中国石油化工股份有限公司 | Coal measure stratum organic carbon content evaluation method and device and electronic equipment |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104345345A (en) * | 2014-10-30 | 2015-02-11 | 中国石油天然气集团公司 | Method for forecasting TOC (Total Organic Carbon) content of shale reservoir stratum |
CN104502971A (en) * | 2014-12-22 | 2015-04-08 | 中国石油天然气集团公司 | Method for detecting total organic carbon content and brittleness space distribution of shale reservoir |
-
2015
- 2015-06-26 CN CN201510363350.9A patent/CN106291748A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104345345A (en) * | 2014-10-30 | 2015-02-11 | 中国石油天然气集团公司 | Method for forecasting TOC (Total Organic Carbon) content of shale reservoir stratum |
CN104502971A (en) * | 2014-12-22 | 2015-04-08 | 中国石油天然气集团公司 | Method for detecting total organic carbon content and brittleness space distribution of shale reservoir |
Non-Patent Citations (9)
Title |
---|
HELGE LØSETH ET AL.: "Can hydrocarbon source rocks be identified on seismic data", 《GEOLOGY》 * |
刘超等: "变系数△logR方法及其在泥页岩有机质评价中的应用", 《地球物理学进展》 * |
周守为等: "《中国近海典型油田开发实践》", 30 April 2009, 北京:石油工业出版社 * |
张幸福等: "《陆相复杂断块油田精细油藏描述技术—以港东开发区为例》", 31 December 2001, 北京:石油工业出版社 * |
李松峰: "少井条件下富生烃凹陷油气资源评价", 《中国博士学位论文全文数据库 基础科学辑》 * |
王红岩等: "《胜坨油田勘探开发50年实践与认识丛书:勘探技术》", 31 December 2013, 北京:石油工业出版社 * |
石立新: "LJ 地区沙三下泥页岩层参数测井计算方法", 《中国石油大学胜利学院学报》 * |
许杰等: "含气页岩有机碳含量地球物理预测", 《石油地球物理勘探》 * |
郑佳奎等: "吐哈盆地煤成烃源岩测井评价关键因素", 《中国地球物理2012》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108107482A (en) * | 2017-12-12 | 2018-06-01 | 北京师范大学 | Hydrocarbon source rock multiparameter prediction method and system under a kind of condition of less wells |
CN110763819A (en) * | 2018-07-26 | 2020-02-07 | 中国石油化工股份有限公司 | Establishment method of dynamic quantitative evaluation system for hydrocarbon source rock effectiveness, evaluation system and application |
CN114961708A (en) * | 2021-02-18 | 2022-08-30 | 中国石油化工股份有限公司 | Coal measure stratum organic carbon content evaluation method and device and electronic equipment |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
USRE49507E1 (en) | Faulted geological structures having unconformities | |
Wellmann et al. | Towards incorporating uncertainty of structural data in 3D geological inversion | |
US7424415B2 (en) | Automated system for modeling faulted multi-valued horizons | |
US10995592B2 (en) | Method and system for analyzing the uncertainty of subsurface model | |
Radwan | Three-dimensional gas property geological modeling and simulation | |
US10901118B2 (en) | Method and system for enhancing meshes for a subsurface model | |
Cherpeau et al. | Stochastic structural modelling in sparse data situations | |
US20170315266A1 (en) | Method and system for forming and using a subsurface model in hydrocarbon operations | |
US11041969B2 (en) | Methods and systems for modeling subsurfaces containing partial faults | |
Lallier et al. | Uncertainty assessment in the stratigraphic well correlation of a carbonate ramp: Method and application to the Beausset Basin, SE France | |
CN106443770A (en) | Shale gas geological sweet spot prediction method | |
CN106291748A (en) | A kind of method obtaining content of organic carbon of hydrocarbon source rock | |
Orellana et al. | Influence of variograms in 3D reservoir-modeling outcomes: An example | |
CN112505754B (en) | Method for collaborative partitioning sedimentary microfacies by well-seismic based on high-precision sequence grid model | |
WO2016187238A1 (en) | Auto-validating earth interpretation and modeling system | |
Al-Khazraji | Depth prediction by using various velocity models of Khasib Reservoir in East Baghdad field, Iraq | |
EP3531172B1 (en) | Meshless and mesh-based technique for modeling subterranean volumes | |
Mehdipour et al. | The Best Scenario for Geostatistical Modeling of Porosity in the Sarvak Reservoir in an Iranian Oil Field, Using Electrofacies, Seismic Facies, and Seismic Attributes | |
Saein | Tectonic and Structural Framework of the Zagros Fold-thrust Belt | |
Walker et al. | Stochastic inversion for facies: A case study on the Schiehallion field | |
CN115880455A (en) | Three-dimensional intelligent interpolation method based on deep learning | |
EP3785233B1 (en) | Fault radiation based grid compartmentalization | |
Masoud et al. | Reservoir characterization and geostatistical model of the Cretaceous and Cambrian-Ordovician reservoir intervals, Meghil field, Sirte basin, Libya | |
Rashad et al. | An iterative workflow introduced to model complex heterogeneous reservoirs: an example from NEAG-2 Field, north Western Desert, Egypt | |
Weimann et al. | Unconventional Variables that Impact on the Fracture Height Growth on Vaca Muerta Formation and its Implications for Fracture Simulation and Well Productivity |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170104 |
|
RJ01 | Rejection of invention patent application after publication |