Logging curve recovery method used for compact gas-containing sandstone reservoir prediction

A technology of logging curves and recovery methods, applied in the field of petroleum geophysical exploration, can solve problems such as inability to effectively solve geological problems in tight gas-bearing sandstone reservoirs

Active Publication Date: 2015-02-11
CHINA PETROLEUM & CHEM CORP +1
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the fact that conventional wave impedance inversion and gas-bearing detection technology cannot effectively solve the geological problem of predicting tight gas-bearing sandstone reservoirs, the present invention provides a logging curve recovery method for tight gas-bearing sandstone reservoir prediction. The method of the present invention Restoring the logging curve characterizing the characteristics of the reservoir, so that the restored logging curve has both the dimensional characteristics of the target curve and the high-frequency information of the curve to be restored

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
  • Logging curve recovery method used for compact gas-containing sandstone reservoir prediction
  • Logging curve recovery method used for compact gas-containing sandstone reservoir prediction
  • Logging curve recovery method used for compact gas-containing sandstone reservoir prediction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0068] Such as figure 1 As shown, a logging curve recovery method for tight gas-bearing sandstone reservoir prediction, the specific steps are as follows:

[0069] Step 1. Enter data:

[0070] That is, input the target logging curve AC and the recovery curve GR; the target logging curve AC is the longitudinal wave velocity logging curve, and the recovery curve GR is the natural gamma curve;

[0071] Step 2. Preprocess the input data:

[0072] For the sample point values ​​that have no physical meaning in the target logging curve AC and the to-be-recovered curve GR, take the average value of the upper and lower two sample points with physical meaning, and use this average value to replace the sample without physical meaning. Point value.

[0073] Step 3. Obtain the trend field factor LAC of the target logging curve AC:

[0074] Step 3-1, establish a least squares fitting equation, as shown in formula 1:

[0075] f ( a , b ) = X i = 1 n [ AC i - ...

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 logging curve recovery method used for compact gas-containing sandstone reservoir prediction. The recovery method is a method for obtaining a recovered curve, trend field factors are introduced to a target logging curve AC and a curve to be recovered GR, and high-frequency components of the target logging curve AC and the curve to be recovered GR are matched and integrated by using frequency spectrum integration technology, thereby obtaining the recovered curve which has dimension features of the target logging curve and keeps the high-frequency components. The logging curve recovery method used for compact gas-containing sandstone reservoir prediction provided by the invention relatively completely keeps features of the curve to be recovered, can obviously reflect longitudinal spatial variation of lithofacies and lithological characters, has the characteristics of fast computation speed, good stability, high computation accuracy and strong anti-noise capability, and can be directly used for inversion of seismic data.

Description

Technical field [0001] The invention relates to the technical field of petroleum geophysical exploration, in particular to a logging curve recovery method for tight gas-bearing sandstone reservoir prediction Background technique [0002] Seismic exploration technology is one of the most widely used geophysical methods in oil and gas exploration. It uses changes in the speed, amplitude, frequency, phase, waveform and other parameters of seismic waves propagating in different media to analyze and predict the distribution range and storage of oil and gas reservoirs. Layer physical characteristics. With the gradual deepening of exploration and development, seismic exploration has gradually developed from structural exploration that recognizes the shape of underground structures to lithological exploration that directly uses seismic information to judge lithology, analyze lithofacies, and quantitatively calculate rock physical parameters. Reservoirs in these complex sedimentary envir...

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
IPC IPC(8): G01V1/48G01V1/50
Inventor 白俊雨岳承琪
Owner CHINA PETROLEUM & CHEM CORP
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap