Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for predicating productivity of nonhomogeneity ancient karst carbonate reservoir

A carbonate rock and prediction method technology, which is applied in the field of geological exploration to achieve the effects of optimizing key parameters, improving productivity prediction accuracy, and improving accuracy

Inactive Publication Date: 2014-09-17
CHINA NAT PETROLEUM CORP CHUANQING DRILLING ENG CO LTD
View PDF5 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The present invention solves the problem of fine description and characterization of heterogeneous karst reservoirs, solves the problem of permeability of heterogeneous paleokarst reservoirs, solves the problem of main controlling factors of productivity of heterogeneous paleokarst reservoirs, and solves these problems Quantitative calculation of main control factors, so as to predict production capacity

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0074] A productivity prediction method for heterogeneous paleokarst carbonate rock reservoirs, comprising: determining parameters related to productivity according to the interrelationship of lithology, physical properties, electrical properties, and oil and gas properties, including matrix porosity (physical properties), Deep lateral resistivity (connectivity), Stoneley wave energy attenuation (permeability), fracture and vug development degree (surface vug ratio), total hydrocarbon value (logging gas content display), and processed by reservoir parameters , the reservoirs are divided into categories I, II, and III (porosity Ф≥7% is category I, 7%> porosity Ф≥4% is category II, 2% ≤ porosity Ф<4% is category III.) . Then the principal component analysis method is used for reconstruction and optimization to determine the key parameters related to productivity, namely matrix porosity (physical properties), Stoneley wave energy attenuation (permeability), surface vug ratio, and...

Embodiment 2

[0128] According to the "four properties" relationship (interrelationship among lithology, physical property, electrical property and oil-gas content), the present invention determines information related to production capacity, including: reservoir rock mineral composition, porosity, reservoir thickness, deep side Many parameters such as resistivity, porosity, Stoneley wave energy attenuation, and total hydrocarbons can be obtained. At the same time, through the processing of reservoir parameters, the reservoirs are divided into I, II, and III types, and the principal component analysis (PCA) method is used for transformation and optimization to determine the key parameters closely related to production capacity. And give the corresponding weight coefficient, calculate the reservoir quality comprehensive evaluation index (RQ), so as to establish the production capacity prediction method.

[0129] The technical scheme of the method in the present invention is specifically desc...

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 method for predicating productivity of nonhomogeneity ancient karst carbonate reservoir. The method includes the steps of firstly clarifying the reservoir through reservoir parameter processing and conducting the reservoir thickness statistics according to the clarified reservoir, secondly determining key parameters related to the productivity, such as matrix porosity, stoneley wave energy attenuation, the surface hole rate and the reservoir thickness, thirdly working out the comprehensive evaluation index RQ of reservoir quality according to the determined key parameters, establishing a productivity predicating model according to the comprehensive evaluation index RQ of the reservoir quality, and finally conducting productivity predication of the nonhomogeneity ancient karst carbonate reservoir according to the established productivity predicating model. By means of the method, the fine depicting and representing of the nonhomogeneity ancient karst reservoir are achieved, the problem of permeability of the nonhomogeneity ancient karst reservoir is solved, the main control factor problem of the productivity of the nonhomogeneity ancient karst reservoir is solved, and quantitative calculation of the main control factor is achieved, so that accurate productivity prediction can be achieved.

Description

technical field [0001] The invention relates to a method for predicting the productivity of a heterogeneous paleokarst carbonate reservoir, belonging to the technical field of geological exploration. Background technique [0002] The Sinian Dengying Formation and Cambrian Longwangmiao Formation in the Central Sichuan Basin are the oldest oil and gas exploration strata. The reservoirs have multi-phase dissolution, multi-media, complex pore structure, karst development, strong siliceous filling and heterogeneous filling. The overlapping characteristics of homogeneous and quasi-homogeneous reservoirs result in a complex void space structure, and its productivity evaluation is even more difficult. [0003] Usually, the porosity, permeability and oil and gas saturation of the reservoir are calculated by conventional logging data, and the reservoir is evaluated and the productivity is predicted by means of the neural network method. When the size and distribution of pores or diss...

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): E21B49/00
Inventor 贺洪举齐宝权胡振平张树东周政英屈玲赵中明姜艳玲
Owner CHINA NAT PETROLEUM CORP CHUANQING DRILLING ENG CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com