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Method for optimally selecting shale gas horizontal well clustering perforation well section by utilizing logging data

A technology for well logging data and perforated well sections, applied in the direction of wellbore/well components, earthwork drilling and production, and production fluid, etc., can solve the problem of difficulty in on-site implementation, failure to consider rock brittleness, ground stress, and failure to target shale gas and other problems, to achieve the effects of expanding logging acquisition, significant economic benefits, and solving production technical problems

Inactive Publication Date: 2016-01-20
CHINA NAT PETROLEUM CORP CHUANQING DRILLING ENG CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] (1) For conventional clastic rocks and carbonate rocks, but not for shale gas reservoirs;
[0005] (2) Only the relationship between the drilling display and the "four properties" of the reservoir is considered, and factors such as rock brittleness and in-situ stress are not considered;
[0006] (3) The logging, fracturing, testing, and development data are selected using complex mathematical methods. There are many kinds of data used, and the on-site implementation is difficult. It is suitable for the middle and late stages of production, but not for exploration wells and evaluation wells

Method used

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  • Method for optimally selecting shale gas horizontal well clustering perforation well section by utilizing logging data
  • Method for optimally selecting shale gas horizontal well clustering perforation well section by utilizing logging data
  • Method for optimally selecting shale gas horizontal well clustering perforation well section by utilizing logging data

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Effect test

Embodiment 1

[0042] A method for selecting clustered perforated sections in shale gas horizontal wells using logging data, comprising the following steps:

[0043] a. Using logging data and seismic data to establish a horizontal well geological model and identify shale reservoirs;

[0044] b. Calculate the key parameters of shale gas reservoir quality by using logging data, and calculate the quality of shale gas reservoir;

[0045] c. Using the logging data to calculate the key parameters of the completion quality of the shale gas reservoir, and calculate the completion quality of the shale gas reservoir;

[0046] d. Calculate the comprehensive quality of the reservoir according to the quality of the shale gas reservoir and the completion quality;

[0047] e. Combining the comprehensive quality of the shale gas well reservoir with the geological model, establishing a classification evaluation standard, so as to optimize the clustered perforation section.

[0048] In the step a, the horiz...

Embodiment 2

[0076] A method for selecting clustered perforated sections in shale gas horizontal wells using logging data, comprising the following steps:

[0077] 1. Using logging data and seismic data to establish a horizontal well geological model and identify shale reservoirs.

[0078] The horizontal well logging data is compared with the pilot well (vertical well) logging data, combined with the seismic data to restore and establish the geological model (existing technology), so as to clarify the drilling situation of the horizontal well trajectory in the formation.

[0079] Shale gas reservoirs are identified according to the logging response characteristics of shale gas reservoirs. Shale gas reservoirs generally have the following response characteristics on the logging curve: high gamma, high uranium, low thorium and low potassium; high acoustic time difference, high neutron, low density; high resistivity, double lateral and negative induction difference ; Borehole expansion.

[...

Embodiment 3

[0109] A method for selecting clustered perforated sections in shale gas horizontal wells using logging data, comprising the following steps:

[0110] a. Using logging data and seismic data to establish a horizontal well geological model and identify shale reservoirs;

[0111] b. Calculate the key parameters of shale gas reservoir quality by using logging data, and calculate the quality of shale gas reservoir;

[0112]c. Using the logging data to calculate the key parameters of the completion quality of the shale gas reservoir, and calculate the completion quality of the shale gas reservoir;

[0113] d. Calculate the comprehensive quality of the reservoir according to the quality of the shale gas reservoir and the completion quality;

[0114] e. Combining the comprehensive quality of the shale gas well reservoir with the geological model, establishing a classification evaluation standard, so as to optimize the clustered perforation section.

[0115] The method for calculatin...

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Abstract

The invention discloses a method for optimally selecting a shale gas horizontal well clustering perforation well section by utilizing logging data. The method comprises the following steps of: a, building a horizontal well geological model by utilizing logging information and seismic data, and recognizing a shale reservoir; b, calculating quality key parameters of a shale gas reservoir by utilizing the recognition result to work out the quality of the shale gas reservoir; c, calculating well completion quality key parameters of the shale gas reservoir by utilizing the recognition result to work out the well completion quality of the shale gas reservoir; d, working out the comprehensive quality of the reservoir according to the shale gas reservoir quality and the well completion quality; and e, building a grading evaluation standard by combining the comprehensive quality of a shale gas well reservoir and the geological model so as to optimally select the clustering perforation well section. The method has the advantages that the quality of a shale gas stratum reservoir, the well completion quality and the geological model are combined, and the optimal selection of the clustering perforation well section is realized.

Description

technical field [0001] The invention relates to a method for optimizing a clustered perforation section of a shale gas horizontal well, in particular to a method for optimizing a clustered perforation section of a shale gas horizontal well by using well logging data, and belongs to the field of well logging data evaluation. Background technique [0002] Shale gas is a kind of unconventional oil and gas reservoir. In order to increase reserves and production, the drilling and completion technology of "horizontal well" + "volume fracturing" is often used in the exploration and development of shale gas. An important part of fracturing. At present, the selection of perforated well sections is aimed at clastic rock and carbonate rock formations, and the reservoirs and their “four properties” (lithology, physical properties, electrical properties, oil and gas properties and their correlation) and reservoir thickness or through numerical methods using adjacent well fracturing, t...

Claims

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Application Information

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IPC IPC(8): E21B43/00
Inventor 谢刚罗利张树东杨小兵黄毅
Owner CHINA NAT PETROLEUM CORP CHUANQING DRILLING ENG CO LTD
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