Method for predicting reservoir layer inverted by multi-well logging parameter under restriction condition of relative wave impedance

A constraint condition and parameter inversion technique, applied in the fields of seismology and seismic signal processing for logging records

Inactive Publication Date: 2010-01-27
中国石油集团西北地质研究所有限公司
View PDF0 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] Aiming at the main problems of conventional model-constrained wave impedance inversion, this invention provides a multi-well logging parameter inversion method under the relative wave impedance constraint to solve the problem of wave impedance stable and fast inversion under the conditions of complex geological structure and multiple wells. Inversion problems, reduce inversion multi-solutions, and improve prediction accuracy of complex reservoirs

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
  • Method for predicting reservoir layer inverted by multi-well logging parameter under restriction condition of relative wave impedance
  • Method for predicting reservoir layer inverted by multi-well logging parameter under restriction condition of relative wave impedance
  • Method for predicting reservoir layer inverted by multi-well logging parameter under restriction condition of relative wave impedance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0120] 1. Establish the initial wave impedance model corresponding to the small layer from the logging data, and calculate the reflection coefficient, and use the seismic wavelet to calculate the seismic synthetic record;

[0121] 2. Fitting synthetic seismic records and seismic records. If the required correlation coefficient and variance are met, it is considered that the initial wave impedance model is correct, and the sublayer is calibrated on the initial wave impedance model and seismic records accordingly;

[0122] 3. Synthetic seismic records and seismic records are used as trace integration, corresponding to a negative 90° phase shift, and the horizon of the initial wave impedance model is calibrated on the trace integral profile;

[0123] 4. For the calibrated Dow integral profile, fine-tune the hourly difference according to the actual position of the reservoir;

[0124] 5. Small-layer calibration and comparison of single well data; research on sedimentary facies an...

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 predicting a reservoir layer inverted by multi-well well logging parameters under a restriction condition of relative wave impedance, comprising the following steps: (1) calculating a relative wave impedance value; (2) establishing an initial wave impedance model corresponding to a small layer to acquire reflection coefficients and seismic synthetic records; (3) fitting the seismic synthetic records and seismic records; (4) carrying out trace integral on the seismic synthetic records and the seismic records, equivalently shifting minus 90 degrees, and calibrating the layer of the initial wave impedance model to a trace integral section; (5) performing hour difference fine tuning; (6) calibrating and comparing the small layer of single-well data, and performing the physical research on deposition equivalence; (7) performing physical researches on a multi-well continuous sheet deposition phase and others to establish an initial deposition phase model; (8) selecting the most sensitive well logging parameters; (9) interpolating the multi-well in the entire region by using the cokriging technology and using the relative wave impedance as a restriction data body; and (10) loading the initial deposition phase model to an interpolated reservoir layer model (9) by means of interaction explanation to obtain a final reservoir layer model.

Description

technical field [0001] The invention relates to fine technical interpretation of seismic data in the petroleum physical exploration industry, and aims to solve the problem of reservoir prediction, in particular to a reservoir prediction method for multi-well logging parameter inversion under relative wave impedance constraints. Background technique [0002] Wave impedance inversion is a method of eliminating the influence of wavelets from the seismic section, leaving the reflection coefficient; and then calculating the physical parameter wave impedance that can reflect the change of formation physical properties from the reflection coefficient. There are many methods for wave impedance inversion, but essentially there are two methods: [0003] 1) Wave impedance inversion without well constraints. The frequency of wave impedance inverted under the constraint of no well is consistent with the frequency of seismic records, that is, the frequency of wave impedance inverted depe...

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): G01V1/40G01V1/28G01V1/36
Inventor 王西文杨午阳苏明军
Owner 中国石油集团西北地质研究所有限公司
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