Construction method of fault-lithologic oil and gas reservoir oil and gas reserve prediction model

A technology of prediction model and construction method, applied in the field of oil and gas exploration, can solve the problems of oil and gas reserves prediction model without dominant influencing factors, strong human subjectivity and contingency, lack of objectivity, etc. The effect of improving the accuracy and reducing the experimental workload

Active Publication Date: 2022-02-08
NORTHEAST GASOLINEEUM UNIV
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Fault-lithology reservoirs are an important method of accumulation under the coupling of structure and lithology. Currently, there is no technical solution for determining the dominant factors of fault-lithology reservoirs and the prediction model for oil and gas reserves in the open literature.
The reserve prediction model of similar oil and gas reservoirs (such as buried hill oil and gas reservoirs) that can be used as a reference relies on expert judgment for weighting. This reserve prediction model does not make full use of objective information, resulting in strong human subjectivity and chance, and lacks objectivity , after being experimentally applied to the prediction of oil and gas reserves in fault-lithologic reservoirs, it is found that it is not applicable

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Construction method of fault-lithologic oil and gas reservoir oil and gas reserve prediction model
  • Construction method of fault-lithologic oil and gas reservoir oil and gas reserve prediction model
  • Construction method of fault-lithologic oil and gas reservoir oil and gas reserve prediction model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention will be further described below in conjunction with accompanying drawing:

[0047] In order to make the purpose, research method and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0048] In this study, the Bohai Sea area was taken as the research area, and seven typical fault-lithologic reservoirs were selected, namely QHD35-4, BZ1-1, BZ2-1, BZ3-2, CFD6-4, BZ25-1, KL10 -1. Carry out sampling and experimental work for different fault-lithological oil and gas reservoirs. The sample information is shown in Table 1. Experimental testing and analysis of porosity and permeability are carried out on the samples taken. At the same time, the hydrocarbon generation intensity of 7 fault-lithologic reservoirs, th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a construction method of a fault-lithologic oil and gas reservoir oil and gas reserve prediction model. The method comprises the following steps: (1) determining reservoir forming influence factors representing fault-lithologic oil and gas reservoirs; (2) calculating a weighting coefficient of oil and gas reserves of the fault-lithologic oil and gas reservoir, a good-bad relationship of each reservoir forming influence factor and a weighting coefficient; (3) based on the determined dominant reservoir-forming influence factors, establishing a comprehensive prediction model of oil and gas reserves, and performing model regression coefficient estimation by using a least square method; and (4) calculating a judgment index to check the prediction model, gradually increasing the number of advantage influence factors, and selecting a model corresponding to the minimum judgment index R2 as a final fault-lithologic oil and gas reservoir reserve prediction model. The model constructed by the method not only can effectively predict the oil and gas reserves of the fault-lithologic oil and gas reservoir, has small prediction result error and high accuracy, but also overcomes the defects of subjective influence of artificial weight value assignment and less drilling data, and reduces the experimental workload.

Description

Technical field: [0001] The invention relates to the technical field of oil and gas exploration, in particular to a method for constructing an oil and gas reserve prediction model. Background technique: [0002] Fault-lithology reservoirs refer to reservoirs formed under the control of both fault and lithology factors. During the rifting period of tectonic evolution, continental basins generally experience the stages of rapid basement subsidence, expansion of lake basin area, and rapid deepening of water body, which greatly promotes the development of high-quality lacustrine source rocks and deep delta sand bodies at the edge of lake basins. Generally speaking, the deep delta sand bodies developed at the edge of the lake basin have good reservoir properties, because the uplift around the lake basin has been weathered and denuded for a long time, and it is a good large-scale provenance area, which can be the sand body on the downside of the uplift At the same time, the devel...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02G06F30/20G06F111/10
CPCG06Q10/04G06Q50/02G06F30/20G06F2111/10
Inventor 马妍孙永河庞磊刘召刘露娄瑞
Owner NORTHEAST GASOLINEEUM UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products