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ProxInLAS, a software program for detecting coal layers and estimating parameters of layers, using geophysical well-logs

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Abstract

The present paper describes the algorithm and working method for detection and estimation of proximate parameters of coal beds based on digital well-log data. Designed and developed by the authors in Visual Studio using C#, ProxInLAS is used to define a threshold value on each log to distinguish between coal and non-coal layers, followed by estimating each of the coal proximate parameters by importing the data pertaining to a particular borehole: the reference borehole. Inputs of the software include the reference borehole data, target functions for accepting a layer as coal, and the methods employed to estimate the proximate parameter. The software relies mainly on two algorithms, a detection algorithm for detecting coal layers, and an estimation algorithm for estimating proximate parameters of the detected layers. Loaded by the well-log and core-sampling data, the detection algorithm calculates a set of threshold values to distinguish between the coal and non-coal layers based on the frequency distribution function of the well-log values near coal beds. ProxInLAS offers four methods for estimating proximate parameters: (1) a method based on the regression between the considered parameter and a particular log, (2) a method based on a combination of several linear relationships, (3) radial basis function (RBF) method, and (4) geostatistical interpolation method. In addition to numeric records, the software can present its outputs graphically to provide a simple and instant view of the results. The case study used to evaluate the performance of ProxInLAS.

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Availability and Requirements

The executive files of the software are available via the link below:

https://1drv.ms/u/s!ApSd-8MK33-ngWbujdO8HdMBvRZl

To run ProxInLAS, the zip file downloaded from the above link should be extracted and the executive file of “WindowsFormsApplication3.exe” would be executed directly. The software needs “.Net Framework 4.5” or above to be run correctly. ProxInLAS has been tested on the Operating System of Windows 10 and 7, and executing correctly in other versions of above Windows 7 is expected.

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Authors and Affiliations

  1. Department of Mining and Metallurgy Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

    Amir Yusefi & Hamidreza Ramazi

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  1. Amir Yusefi
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  2. Hamidreza Ramazi
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Correspondence to Hamidreza Ramazi.

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Yusefi, A., Ramazi, H. ProxInLAS, a software program for detecting coal layers and estimating parameters of layers, using geophysical well-logs. Earth Sci Inform 12, 415–427 (2019). https://doi.org/10.1007/s12145-019-00382-3

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  • DOI: https://doi.org/10.1007/s12145-019-00382-3

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