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Lacustrine facies peperite reservoir logging recognition method based on composition-structure classification

An identification method and lithology identification technology, which is applied in the field of logging lithology interpretation in the petroleum exploration industry, can solve the problems of diamictite reservoir rock logging lithology identification difficulties, etc., and achieve the effect of high accuracy

Active Publication Date: 2017-02-01
CHINA NAT OFFSHORE OIL CORP +1
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Problems solved by technology

[0004] In order to solve the above technical problems, the present invention provides a lacustrine diamictite reservoir logging identification method based on composition-structure classification, which solves the problem of difficult lithology identification of diamictite reservoir rocks in the prior art

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  • Lacustrine facies peperite reservoir logging recognition method based on composition-structure classification
  • Lacustrine facies peperite reservoir logging recognition method based on composition-structure classification
  • Lacustrine facies peperite reservoir logging recognition method based on composition-structure classification

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Embodiment Construction

[0022] Aiming at the complexity of diamictite reservoir composition and structure and the deficiency of conventional lithological interpretation, the present invention selects CNCF, PE and GR curves closely related to rock composition properties and GR, RD and CNCF curves closely related to rock structure, A logging rock identification method based on composition-structure secondary classification is proposed. The logging lithology identification method has been further enriched and improved, and the accuracy rate of diamictite reservoir rock type interpretation has been greatly improved. Good results have been achieved in practical applications.

[0023] The specific implementation method of the present invention is a lacustrine diamictite reservoir logging identification method based on composition-structure classification, and the specific steps are as follows:

[0024] 1. Sample calibration:

[0025] Calibration of curve parameter samples: Calibration curves of data such...

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Abstract

The invention provides a lacustrine facies peperite reservoir logging recognition method based on composition-structure classification. The method includes the steps of sample acquisition, wherein lithological standardization base data and a corresponding conventional logging curve are acquired; curve-sample lithological standardization, wherein a logging curve in a corresponding well section is extracted according to the lithological standardization result; sample classification, wherein known lithological samples are classified according to compositions and structures; lithological composition-structure indication sensitivity curve optimization, wherein a box figure method and a cross plot method are adopted as optimization methods; establishment of a composition-structure secondary classification lithological interpretation flow chart according to the optimization result; lithological recognition on unknown lithological sections according to the lithological interpretation flow chart. The conventional logging curve is used for qualitatively recognizing rock compositions and structures of a lacustrine facies peperite reservoir, rock types are conveniently and accurately recognized, and base data is provided for following logging comprehensive interpretation, formulation of test measures in shaft operation and lithological calibration of sections in which rock (walls) cores are not taken.

Description

technical field [0001] The patent of the invention belongs to the field of logging lithology interpretation in the petroleum exploration industry, and is a method for logging recognition of lacustrine diamictite reservoirs based on composition-structure classification. Background technique [0002] Logging lithology identification technology is an important technical means in the field of petroleum exploration and development. Generally, the lithology of formations is determined based on core, wall core and cuttings logging data. Logging response characteristics, or the corresponding relationship between lithology and logging response, and then, using the corresponding relationship, the lithology of other well intervals with similar formation conditions can be divided by logging data. Conventional logging curves include lithology curves (GR, SP, PE), porosity curves (ZDEN, CNCF, DT), and resistivity curves (RD, RS, RMSF). Interpretation methods at home and abroad mostly use...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/24G01V11/00
CPCG01N33/24G01V11/00
Inventor 冯冲王清斌代黎明金小燕刘晓健庞小军
Owner CHINA NAT OFFSHORE OIL CORP
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