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

Rock physics constraint reservoir physical property parameter inversion method and system

A technology for inversion of physical properties and parameters of reservoirs, applied in geophysical surveying, seismic signal processing, measuring devices, etc., can solve problems such as low accuracy and difficult to apply to complex geological conditions, and achieve high prediction accuracy

Active Publication Date: 2020-04-03
CHINA PETROLEUM & CHEM CORP +1
View PDF3 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problems of low precision and difficult application to complex geological conditions in the above-mentioned prior art, and provide a petrophysically constrained reservoir physical parameter inversion method and system, using petrophysical forward modeling data as a training data set , and then optimize the training of the neural network structure, and finally apply the trained network structure to seismic data to realize the lateral prediction of physical parameters

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
  • Rock physics constraint reservoir physical property parameter inversion method and system
  • Rock physics constraint reservoir physical property parameter inversion method and system
  • Rock physics constraint reservoir physical property parameter inversion method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0048]Porosity is an important parameter to describe the properties of reservoirs, because fluids are directly stored in rock pores, so porosity inversion based on seismic data is sometimes better than elastic three parameters (compressional, shear wave velocity and rock density ) inversion is more direct and effective. Aiming at the difficulties in obtaining porosity profiles in seismic data interpretation and the limitations in the establishment of initial porosity models in conventional seismic porosity inversion methods, such as low porosity model accuracy, complicated input data, difficulty in applying complex geological conditions, and limited applications, this paper The invention uses the rock physics model to establish a data set, and the neural network method automatically optimizes the nonlinear complex relationship between the rock physical parameters and ...

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 provides a rock physics constraint reservoir physical property parameter inversion method and system, and belongs to the technical field of reservoir prediction and evaluation in petroleum geophysical exploration. According to the method, elastic parameters are obtained through physical property parameter forward modeling by utilizing a rock physical model, a training sample set is constructed by utilizing the physical property parameters and the elastic parameters, a neural network is trained by utilizing the training sample set to obtain an optimized neural network, and then the optimized neural network is utilized to predict the physical property parameters. According to the method, the problem that only a single factor is considered when the porosity and the shale contentare predicted through a conventional empirical formula is solved, the porosity and the shale content are predicted at the same time in a completely nonlinear manner, the prediction precision is high,and the method and the system are suitable for the complex geological conditions.

Description

technical field [0001] The invention belongs to the technical field of reservoir prediction and evaluation in petroleum geophysical exploration, and in particular relates to an inversion method and system for physical property parameters of petrophysically constrained reservoirs. Background technique [0002] Seismic exploration method is a geophysical method that analyzes and predicts the distribution range of oil and gas reservoirs and the physical characteristics of reservoirs by using the changes in the velocity, amplitude, frequency, phase, waveform and other parameters of seismic waves propagating in different underground media. The most widely used method in geophysical prospecting. With the continuous advancement of oil and gas exploration and development, conventional oil and gas exploration has shifted from the original search for structural oil and gas reservoirs to the search for lithologic oil and gas reservoirs and hidden oil and gas reservoirs, and unconventio...

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): G01V1/30
CPCG01V1/306G01V2210/624
Inventor 白俊雨刘卫华
Owner CHINA PETROLEUM & CHEM CORP
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