CN105114067A - Lithology logging facies method - Google Patents
Lithology logging facies method Download PDFInfo
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- CN105114067A CN105114067A CN201510531722.4A CN201510531722A CN105114067A CN 105114067 A CN105114067 A CN 105114067A CN 201510531722 A CN201510531722 A CN 201510531722A CN 105114067 A CN105114067 A CN 105114067A
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Abstract
The invention discloses a lithological well logging phase method, which comprises the steps of obtaining N well logging parameters corresponding to an oil-gas well, wherein each well logging parameter is related to lithological characters of the oil-gas well, and N is an integer greater than 2; carrying out homogenization treatment on the N logging parameters to obtain a lithology identification model; and determining the distribution parameters of each lithology based on the multiple lithologies corresponding to the oil and gas well and the lithology identification model. The lithologic well logging phase method provided by the invention solves the limitation that two-dimensional well logging information can only be simultaneously displayed by using the well logging curve cross plot in a non-coring well section, and simultaneously, a plurality of well logging curves can be displayed in the same standard in a radar map mode to identify lithologic property, so that the identification time is shortened, and the identification precision is improved.
Description
Technical field
The present invention relates to lithology field of measuring technique, be specifically related to a kind of method of lithologic log phase.
Background technology
In prior art, Lithology Discrimination is the basis of reservoir and pool description, identify that the most direct effective method of lithology in oil-gas bearing basin is core analysis, but in every mouthful of well, all can not get core, what therefore utilize Using Conventional Logs to carry out lithology is identified as in order to inevitable choice, usually uses log to cross the methods such as figure, FMI imaging, ECS geochemical well logging and neutral net to carry out Lithology Discrimination.
But, prior art is not to when having the Oil/gas Well of coring to analyze, usual employing log crosses figure to carry out Lithology Discrimination, cross in figure process at use log, only can show two dimension well logging information simultaneously, need to identify lithology by multiple two dimension well logging information, cause occurring that recognition time is long, the problem that accuracy of identification is also low.
Summary of the invention
The invention provides a kind of method of lithologic log phase, solve and using the log figure that crosses only can show the limitation of two dimension well logging information without getting core well section simultaneously, many logs can be placed on to show by the mode of radar map under same standard simultaneously and identify lithology, shorten recognition time, improve accuracy of identification.
The embodiment of the present application provides a kind of method of lithologic log phase, and described method comprises:
Obtain the N number of log parameter corresponding with Oil/gas Well, each log parameter is relevant to the lithology of described Oil/gas Well, wherein, N be greater than 2 integer;
Homogenization process is carried out to described N number of log parameter, obtains Lithology Discrimination model;
The different kinds of rocks corresponding based on described Oil/gas Well and described Lithology Discrimination model, determine the distributed constant of each lithology.
Optionally, described N number of log parameter comprises gamma ray log parameter, neutron well logging parameter, resistivity logging parameter, density log parameter and interval transit time log parameter.
Optionally, the described different kinds of rocks corresponding based on described Oil/gas Well and described Lithology Discrimination model, determine the distributed constant of each lithology, specifically comprise:
Obtain electrical property feature and the electrical measurement codomain of each lithology in different kinds of rocks corresponding to described Oil/gas Well; And
Described Lithology Discrimination model is utilized to obtain well logging codomain and the electrical property feature of described Oil/gas Well;
According to the electrical property feature of each lithology and the well logging codomain of electrical measurement codomain and described Oil/gas Well and electrical property feature, determine the distributed constant of each lithology.
Beneficial effect of the present invention is as follows:
The method of the lithologic log phase of the embodiment of the present invention, first the N number of log parameter corresponding with Oil/gas Well is obtained, then homogenization process is carried out to described N number of log parameter, obtain Lithology Discrimination model, again based on different kinds of rocks corresponding to described Oil/gas Well and described Lithology Discrimination model, determine the distributed constant of each lithology, due to N be greater than 2 integer, so, make can show N number of log in described Lithology Discrimination model, thus solve and using the log figure that crosses only can show the limitation of two dimension well logging information without getting core well section simultaneously, many logs can be placed on to show by the mode of radar map under same standard simultaneously and identify lithology, shorten recognition time, and identify lithology by N bar curve, the precision identified also is improved.
Accompanying drawing explanation
Fig. 1 is the structure chart of the method for lithologic log phase in the embodiment of the present invention;
Fig. 2 a, Fig. 2 b, Fig. 2 c, Fig. 2 d, Fig. 2 e, Fig. 2 f and Fig. 2 g are the model of cognition figure of a kind of lithology in the embodiment of the present invention;
Fig. 3 is the composite columnar section that in the embodiment of the present invention, Oil/gas Well is corresponding.
Detailed description of the invention
The invention provides a kind of method of lithologic log phase, solve and using the log figure that crosses only can show the limitation of two dimension well logging information without getting core well section simultaneously, many logs can be placed on to show by the mode of radar map under same standard simultaneously and identify lithology, shorten recognition time, improve accuracy of identification.
The embodiment of the present application the embodiment of the present application provides a kind of method of lithologic log phase, and see Fig. 1, described method comprises:
Step S101: obtain the N number of log parameter corresponding with Oil/gas Well, each log parameter is relevant to the lithology of described Oil/gas Well, wherein, N be greater than 2 integer;
Step S102: carry out homogenization process to described N number of log parameter, obtains Lithology Discrimination model;
Step S103: the different kinds of rocks corresponding based on described Oil/gas Well and described Lithology Discrimination model, determines the distributed constant of each lithology.
Wherein, in step S101, described Oil/gas Well is at least two Oil/gas Wells in presumptive area, then the well-log information of described Oil/gas Well is obtained, wherein, N can be such as 3,5,7 equivalences, when described N is 5, described N number of log parameter is that gamma ray log parameter specifically can represent with GR, neutron well logging parameter specifically can represent with CN, resistivity logging parameter specifically can represent with RT, density log parameter specifically can represent with DEN and specifically to represent with AC with interval transit time log parameter, and each parameter can be all that curve represents.
Specifically, first choose in described presumptive area and can reflect described presumptive area lithology and the complete 5 kinds of log parameters of well-log information, certainly can also comprise natural potential parameter specifically to represent with SP, hole diameter parameter specifically represents with CAL, so, make, when being obtained described Lithology Discrimination model by step S102, the log of more than 5 or 5 to be shown simultaneously.
Following execution step S102, in this step, carries out homogenization process to described N number of log parameter, obtains Lithology Discrimination model.
In specific implementation process, based on described N number of log parameter, obtain the log parameter of multiple test sample points of described Oil/gas Well; To be averaged calculating to the log parameter of described multiple test sample point, obtain the Lithology Discrimination model of each test sample point, wherein, described Lithology Discrimination model specifically can use radar chart representation.
Specifically, based on described N number of log parameter, one by one to each the aboveground extraction carrying out various some log value in described presumptive area of often kind of lithology determined, note during extraction identifying and rejecting abnormalities value, draw out the radar map of each sampling point lithology.
Concrete, the radar map each lithology being carried out various point is superimposed, confirm that each lithology radar map form is consistent and carry out various some log value to be averaged, draw out the radar map of various lithology, described various lithology specifically can comprise sedimentary rock and comprise glutenite, sandstone, mud stone; Lava comprises breccia, the rhyolite of tuff, in addition overflow facies, the diabase etc. of intrusion phase of explosion facies, for example, see Fig. 2 a, Fig. 2 b, Fig. 2 c, Fig. 2 d, Fig. 2 e, Fig. 2 f and Fig. 2 g are the radar map of lithology in 7 in described presumptive area, wherein, Fig. 2 a is specially glutenite log facies radar map; Fig. 2 b is specially sandstone log facies radar map; Fig. 2 c is specially mud stone log facies radar map; Fig. 2 d is specially breccia log facies radar map; Fig. 2 e is specially tuff log facies radar map; Fig. 2 f is specially rhyolite log facies radar map; Fig. 2 g is specially diabase log facies radar map.
Following execution step S103, in this step, the different kinds of rocks corresponding based on described Oil/gas Well and described Lithology Discrimination model, determine the distributed constant of each lithology.
In specific implementation process, obtain electrical property feature and the electrical measurement codomain of each lithology in different kinds of rocks corresponding to described Oil/gas Well; And utilize described Lithology Discrimination model to obtain well logging codomain and the electrical property feature of described Oil/gas Well; According to the electrical property feature of each lithology and the well logging codomain of electrical measurement codomain and described Oil/gas Well and electrical property feature, determine the distributed constant of each lithology.
Specifically, the well logging codomain of described Oil/gas Well and electrical property feature are mated with described Lithology Discrimination model, determines the distributed constant of each lithology according to matching result.
Concrete, see Fig. 3, the Lithology Discrimination model set up by step S102, just can carry out lithology correction to non-coring interval one by one, for the abnormal interval 30 of the GR in Fig. 3, first set up and identify that radar map and Fig. 2 a ~ Fig. 2 g of interval compare, because the radar map of the abnormal interval 30 of GR matches with Fig. 2 b, thus can to identify GR exception interval 30 be sand layers.
Beneficial effect of the present invention is as follows:
The method of the lithologic log phase of the embodiment of the present invention, first the N number of log parameter corresponding with Oil/gas Well is obtained, then homogenization process is carried out to described N number of log parameter, obtain Lithology Discrimination model, again based on different kinds of rocks corresponding to described Oil/gas Well and described Lithology Discrimination model, determine the distributed constant of each lithology, due to N be greater than 2 integer, so, make can show N number of log in described Lithology Discrimination model, thus solve and using the log figure that crosses only can show the limitation of two dimension well logging information without getting core well section simultaneously, many logs can be placed on to show by the mode of radar map under same standard simultaneously and identify lithology, shorten recognition time, and identify lithology by N bar curve, the precision identified also is improved.
Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (4)
1. a method for lithologic log phase, is characterized in that, described method comprises:
Obtain the N number of log parameter corresponding with Oil/gas Well, each log parameter is relevant to the lithology of described Oil/gas Well, wherein, N be greater than 2 integer;
Homogenization process is carried out to described N number of log parameter, obtains Lithology Discrimination model;
The different kinds of rocks corresponding based on described Oil/gas Well and described Lithology Discrimination model, determine the distributed constant of each lithology.
2. the method for claim 1, is characterized in that, described N number of log parameter comprises gamma ray log parameter, neutron well logging parameter, resistivity logging parameter, density log parameter and interval transit time log parameter.
3. method as claimed in claim 2, is characterized in that the described different kinds of rocks corresponding based on described Oil/gas Well and described Lithology Discrimination model are determined the distributed constant of each lithology, specifically comprised:
Obtain electrical property feature and the electrical measurement codomain of each lithology in different kinds of rocks corresponding to described Oil/gas Well; And
Described Lithology Discrimination model is utilized to obtain well logging codomain and the electrical property feature of described Oil/gas Well;
According to the electrical property feature of each lithology and the well logging codomain of electrical measurement codomain and described Oil/gas Well and electrical property feature, determine the distributed constant of each lithology.
4. method as claimed in claim 2, is characterized in that, describedly carries out homogenization process to described N number of log parameter, obtains Lithology Discrimination model, specifically comprises:
Based on described N number of log parameter, obtain the log parameter of multiple test sample points of described Oil/gas Well;
The log parameter of described multiple test sample point is averaged calculating, obtains the Lithology Discrimination model of each test sample point.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106555587A (en) * | 2016-11-24 | 2017-04-05 | 中国石油集团渤海钻探工程有限公司 | A kind of gas surveys the difference profit recognition methods of hydrocarbon component longitudinal direction |
| CN106777707A (en) * | 2016-12-21 | 2017-05-31 | 山东科技大学 | A kind of method that WELL LITHOLOGY quantitative judge is carried out using improved spider diagram |
| CN111753958A (en) * | 2020-06-22 | 2020-10-09 | 成都理工大学 | Microfacies identification method of Dengying Formation microbial rock based on deep learning of logging data |
| CN112012726A (en) * | 2019-05-30 | 2020-12-01 | 中石化石油工程技术服务有限公司 | Lithology identification method |
| CN112360446A (en) * | 2020-11-20 | 2021-02-12 | 中国石油天然气股份有限公司 | Method for judging gas well type based on gas well production dynamic index system |
| CN113202461A (en) * | 2020-12-03 | 2021-08-03 | 中国石油天然气集团有限公司 | Method and device for identifying lithology based on neural network |
| CN117418831A (en) * | 2023-12-18 | 2024-01-19 | 西安石油大学 | Multi-logging parameter lithology identification method and device for sandy conglomerate reservoirs |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6044327A (en) * | 1997-11-13 | 2000-03-28 | Dresser Industries, Inc. | Method for quantifying the lithologic composition of formations surrounding earth boreholes |
| CN102053268A (en) * | 2010-11-18 | 2011-05-11 | 中国石油天然气股份有限公司 | Method and device for identifying lithology of altered volcanic rock |
| CN102071928A (en) * | 2009-11-25 | 2011-05-25 | 中国石油天然气股份有限公司 | Three-dimensional space volcanic lithology identification method |
| CN102590889A (en) * | 2012-02-17 | 2012-07-18 | 中国石油化工股份有限公司 | Log multi-parameter oil-gas interpretation method based on radar map and cloud model |
| CN102606150A (en) * | 2012-03-30 | 2012-07-25 | 中国海洋石油总公司 | Method and system for identifying fragmental rock lithological characters |
| CN103775072A (en) * | 2014-01-16 | 2014-05-07 | 燕山大学 | Logging information-based lithotype determining method |
| CN103775075A (en) * | 2014-01-26 | 2014-05-07 | 中国海洋石油总公司 | Method for identifying lithology of whole well section |
| CN104698500A (en) * | 2015-04-07 | 2015-06-10 | 成都乔依赛斯石油科技有限公司 | Method for predicting reservoir lithogenous phase through geology and logging information |
-
2015
- 2015-08-26 CN CN201510531722.4A patent/CN105114067A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6044327A (en) * | 1997-11-13 | 2000-03-28 | Dresser Industries, Inc. | Method for quantifying the lithologic composition of formations surrounding earth boreholes |
| CN102071928A (en) * | 2009-11-25 | 2011-05-25 | 中国石油天然气股份有限公司 | Three-dimensional space volcanic lithology identification method |
| CN102053268A (en) * | 2010-11-18 | 2011-05-11 | 中国石油天然气股份有限公司 | Method and device for identifying lithology of altered volcanic rock |
| CN102590889A (en) * | 2012-02-17 | 2012-07-18 | 中国石油化工股份有限公司 | Log multi-parameter oil-gas interpretation method based on radar map and cloud model |
| CN102606150A (en) * | 2012-03-30 | 2012-07-25 | 中国海洋石油总公司 | Method and system for identifying fragmental rock lithological characters |
| CN103775072A (en) * | 2014-01-16 | 2014-05-07 | 燕山大学 | Logging information-based lithotype determining method |
| CN103775075A (en) * | 2014-01-26 | 2014-05-07 | 中国海洋石油总公司 | Method for identifying lithology of whole well section |
| CN104698500A (en) * | 2015-04-07 | 2015-06-10 | 成都乔依赛斯石油科技有限公司 | Method for predicting reservoir lithogenous phase through geology and logging information |
Non-Patent Citations (1)
| Title |
|---|
| 赵妮等: "雷达图分析法在测井解释中的应用", 《物探与化探》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106555587A (en) * | 2016-11-24 | 2017-04-05 | 中国石油集团渤海钻探工程有限公司 | A kind of gas surveys the difference profit recognition methods of hydrocarbon component longitudinal direction |
| CN106555587B (en) * | 2016-11-24 | 2019-06-21 | 中国石油集团渤海钻探工程有限公司 | A kind of gas survey the hydrocarbon component longitudinal direction difference grease recognition methods |
| CN106777707A (en) * | 2016-12-21 | 2017-05-31 | 山东科技大学 | A kind of method that WELL LITHOLOGY quantitative judge is carried out using improved spider diagram |
| CN112012726A (en) * | 2019-05-30 | 2020-12-01 | 中石化石油工程技术服务有限公司 | Lithology identification method |
| CN112012726B (en) * | 2019-05-30 | 2023-12-12 | 中石化石油工程技术服务有限公司 | Lithology recognition method |
| CN111753958A (en) * | 2020-06-22 | 2020-10-09 | 成都理工大学 | Microfacies identification method of Dengying Formation microbial rock based on deep learning of logging data |
| CN112360446A (en) * | 2020-11-20 | 2021-02-12 | 中国石油天然气股份有限公司 | Method for judging gas well type based on gas well production dynamic index system |
| CN113202461A (en) * | 2020-12-03 | 2021-08-03 | 中国石油天然气集团有限公司 | Method and device for identifying lithology based on neural network |
| CN113202461B (en) * | 2020-12-03 | 2024-04-02 | 中国石油天然气集团有限公司 | Neural network-based lithology identification method and device |
| CN117418831A (en) * | 2023-12-18 | 2024-01-19 | 西安石油大学 | Multi-logging parameter lithology identification method and device for sandy conglomerate reservoirs |
| CN117418831B (en) * | 2023-12-18 | 2024-03-22 | 西安石油大学 | Lithology identification method and device for sandstone reservoir using multiple logging parameters |
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