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Lithology identification method and system of complex glutenite body based on curve reconstruction

A technology of lithology identification and lithology, which is applied in the field of lithology identification methods and systems of complex glutenite bodies, and can solve the problems of inability to accurately and quantitatively identify the lithology of complex glutenite bodies

Pending Publication Date: 2020-06-23
YANGTZE UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Aiming at the technical problems existing in the prior art, the present invention provides a method and system for lithology identification of complex glutenite bodies based on curve reconstruction, which solves the problem that the lithology of complex glutenite bodies cannot be accurately and quantitatively identified in the prior art

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  • Lithology identification method and system of complex glutenite body based on curve reconstruction
  • Lithology identification method and system of complex glutenite body based on curve reconstruction
  • Lithology identification method and system of complex glutenite body based on curve reconstruction

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Embodiment 1

[0054] Embodiment 1 provided by the present invention is an embodiment of a method for lithology identification of complex glutenite bodies based on curve reconstruction provided by the present invention, and embodiments of the method include:

[0055] Step 1, determine the key lithology of the complex glutenite body;

[0056] Further, methods for determining key lithology of complex glutenite bodies include core observation and / or mud logging data.

[0057] The determination of key lithology is mainly based on the following two aspects: direct observation of conscious cores; second, mud logging data. The reliability of lithology identification by core observation is greater than that of mud logging data. Therefore, when there is a contradiction between the lithology observed by core and the lithology of mud logging, the lithology observed by core shall prevail.

[0058] Specifically, the key lithology may include: coarse sandstone, mudstone, siltstone, medium-fine sandstone,...

Embodiment 2

[0075] Example 2 provided by the present invention is a specific application example of a lithology identification method for complex glutenite bodies based on curve reconstruction provided by the present invention. The broken nose of Yibei 16 well is located in the Zhang-North uplift belt in the eastern Junggar Basin Take the southern part and the western part of the northern slope of Beisantai Uplift as examples, such as figure 2 Shown is a schematic diagram of the regional structural location of Well Bei 16 provided by the embodiment of the present invention, and the Zhang-Bei uplift belt is a positive secondary structural unit close to the north-south direction. The North 16 well area is a nose-shaped uplift cut off by the Beisantaibei fault at the northern margin of the Beisantai uplift and complicated by many small faults. The oil layers developed in Wutonggou Formation in Bei 16 well area are alluvial fan-fan delta facies. roughly at P 3 wt 1 4 In the late or late ...

Embodiment 3

[0094] Embodiment 3 provided by the present invention is an embodiment of a lithology identification system based on curve reconstruction of complex glutenite bodies provided by the present invention, such as Figure 9Shown is a structural block diagram of an embodiment of a lithology identification system based on curve reconstruction of complex sandy conglomerate bodies provided by the present invention, consisting of Figure 9 It can be seen that the system includes: a key lithology determination module 101 , a key lithology logging response value determination module 102 , a curve reconstruction module 103 and a lithology identification module 104 .

[0095] The key lithology determining module 101 is used for determining the key lithology of the complex glutenite body.

[0096] The key lithology logging response value determining module 102 is configured to determine the key lithology logging response value by crossplot method.

[0097] Curve reconstruction module 103, a...

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Abstract

The invention relates to a lithology identification method and system of a complex glutenite body based on curve reconstruction. The method comprises the steps of determining key lithology of the complex glutenite body; determining a logging response value of the key lithology through a cross plot method; constructing a characteristic curve K by using deep lateral resistivity and a natural gamma logging response value according to the logging response value of the key lithology, and constructing a characteristic curve F by using interval transit time and a compensated neutron logging responsevalue; and quantitatively identifying the key lithology according to ranges of the values of the characteristic curve K and the characteristic curve F. Firstly, rock core observation and logging dataare utilized to determine the key lithology, natural gamma, resistivity, compensation neutrons and interval transit time curves which are sensitive to reservoir lithology are selected to perform curvereconstruction, amplify a logging curve response value, and finally a reconstruction curve cross plot is compiled to complete quantitative identification of the lithology of the complex glutenite body so that reliable guidance is provided for subsequent exploration and development of a research area, and a basis is expected to be provided for research and development of a basic geology theory.

Description

technical field [0001] The invention relates to the technical field of oilfield development, in particular to a lithology identification method and system for complex glutenite bodies based on curve reconstruction. Background technique [0002] Complex glutenite bodies are usually the result of rapid mixed accumulation near provenance, and are characterized by complex lithology, poor sortability and high shale content, making quantitative identification of lithology difficult. [0003] At present, the qualitative identification methods of lithology mainly include support vector machine method, FMI (Formation micro resistivity scanning imaging, formation micro resistivity scanning imaging) lithology identification method and conventional logging curve crossplot method. Using conventional logging curves for lithology identification, conglomerate, limey glutenite, and oil layers all have the characteristics of high electrical resistance, and the resistivity characteristics of o...

Claims

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Application Information

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IPC IPC(8): G01V11/00
CPCG01V11/00Y02A90/30
Inventor 汤子余
Owner YANGTZE UNIVERSITY