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Stratification feature extraction method for shale stratum

A feature extraction and shale technology, which is applied in earth cube drilling, electrical digital data processing, special data processing applications, etc., can solve problems such as insufficient precision, and achieve the effect of deepening understanding

Active Publication Date: 2018-11-16
SOUTHWEST PETROLEUM UNIV
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AI Technical Summary

Benefits of technology

This technology helps predict how well rocks will behave when they are subjected to different conditions such as pressure or temperature changes over their life span. It also includes analyzing these factors like sound velocities and sedimentary basal lithology for better quality control purposes during drilling operations. By calculating distances from sonic measurements taken with an instrument called Sonar Gravitational Velocity Profiler(SMG)) it provides valuable insights into the structure and properties of underground formations surrounding oil fields. Additionally, combining them together makes sense because logs provide more accurate results compared to previous methods based on other types of geology techniques.

Problems solved by technology

Technological Problem addressed in this patented technical problem relates to improving the efficiency and effectiveness of drilling and developing underground hydrocarbon-related materials like shales or coal beds during exploitation activities. Current techniques involve subjecting these material to specific conditions before being used again afterward without considering any factors affecting them.

Method used

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  • Stratification feature extraction method for shale stratum
  • Stratification feature extraction method for shale stratum
  • Stratification feature extraction method for shale stratum

Examples

Experimental program
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Embodiment

[0128] 1. Calculation of qualitative bedding characteristic curves

[0129] 1.1 Calculate the standard Euclidean distance curve

[0130] Taking the logging data (sonic velocity, rock density) as the basic parameters, the distance curve based on the acoustic velocity and rock density can be calculated by the standard Euclidean distance formula (1-1), and the formula (1-1) is as follows:

[0131]

[0132] In the formula, D—standard Euclidean distance between sound wave velocity and rock density, dimensionless;

[0133] a 1 —Sound wave speed weight coefficient, the value range is between 0-1, dimensionless;

[0134] a 2 — Rock density weight coefficient, the value range is between 0-1, dimensionless;

[0135] x 1 —Sonic velocity at a depth of k meters, unit: μs / m;

[0136] x 2 —Sonic velocity at a depth of k+i meters, unit: μs / m, where i is accuracy, and i is less than ±1m;

[0137] the y 1 —rock density at a depth of k meters, unit: g / cm 3 ;

[0138] the y 2 —rock...

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Abstract

The invention discloses a stratification feature extraction method for a shale stratum, and belongs to the field of unconventional oil and gas geophysical well logging. The stratification feature extraction method comprises the steps that by taking well logging data of the acoustic velocity and the rock density as input parameters, the distance (standard Euclidean distance) is calculated, then theinter-class distance and the within-class distance are calculated correspondingly, and ordered clustering analysis is conducted to obtain the qualitative stratification feature curve of rock; shale stratification feature information is obtained in the indoor space, and meanwhile a plurality of samples are subjected to depth homing (the homing accuracy of the samples is required to be smaller than+/-1 m); and a well logging interpretation model is constructed by combining the stratification feature curve and the indoor shale stratification feature extracted information. Through the model, thestratification features (the stratification angle and the stratification density) of the shale stratum can be indirectly obtained, and then understanding of the shale stratum is deepened.

Description

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Claims

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Application Information

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Owner SOUTHWEST PETROLEUM UNIV
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