Abstract

A new approach for prediction of face advance rete (FAR) prior to mining operation and determination of the operation efficiency after mining operation in retreat longwall mining panel is presented based upon the concepts of rock engineering system (RES). For this purpose, six longwall panels considered in Parvadeh-I coal mine. Seven major effective parameters on FAR was selected including coal mine roof rating, gas propagation, safety factor of longwall face, ratio of joint spacing to cutting depth at longwall face, longwall face inclination, panel width, floor rock mass rating. To performance evaluation of the presented model, the relationship between the average vulnerability indexes of advance operation with FAR was determined in considered panels with coefficient of determination (R2) equal to 0.884 that indicate relatively acceptable correlation and compatibility. Investigations of the research indicated that it is possible to determine the actual operation efficiency under fair conditions by a RES-based model. The inevitable reduction of FAR for each longwall panel was determined by presented model that the difference amount between the maximum possible practical face advance rate (FARmpp) and recorded actual face advance rate (FARa) indicate the operation efficiency. Applied approach in this paper can be used to prediction of FAR in retreat longwall mining panel for same conditions that can have many benefits, including better and more accurate planning for the sales market and mine operation. Also, presented method in this paper can be applied as a useful tool to determination of actual operation efficiency for other sections and extraction methods in coal mines.

Highlights

  • Prediction of face advance rate (FAR) in longwall panels has many benefits, including better and more accurate planning for the sales market, preparation of longwall panels, technical–economic analysis for the purchase of new equipment, simultaneous extraction in multiple seams mining and other

  • A new approach for prediction of face advance rete (FAR) prior to mining operation and determination of the operation efficiency after mining operation in retreat longwall mining panel is presented based upon the concepts of rock engineering system (RES)

  • The inevitable reduction of FAR for each longwall panel was determined by presented model that the difference amount between the maximum possible practical face advance rate (FARmpp) and recorded actual face advance rate (FARa) indicate the operation efficiency

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Summary

Introduction

Prediction of face advance rate (FAR) in longwall panels has many benefits, including better and more accurate planning for the sales market, preparation of longwall panels, technical–economic analysis for the purchase of new equipment, simultaneous extraction in multiple seams mining and other. A new RES-based model is presented to prediction of face advance rate (FAR) prior to mining and. By using RES, vulnerability index (VI) of advance operation have been determined This index determine the vulnerability amount of advance operation or in other word, reduction amount of FAR without considering the operating parameters such as level of personnel skills, level of planning, level of performance of the equipment’s and the level of overhaul operation. To validate and determine the performance of the presented model, the results obtained of RES-based model were compared with the FAR in considered panels. If the level of planning and operation be good and everything be conducted carefully, maximum possible practical FAR in conditions of considered panel (determination by RES-based model and maximum possible theoretical FAR) should be equal to the achieved FAR in practice. Difference between the predicted FAR and operational FAR indicates bad level of operation include level of personnel skills, level of planning, level of performance of the equipment’s and the level of overhaul operation

Rock engineering systems
Methodology of research
An RES-based model generation
Reaction matrix
Rating of parameters
Determining the VI of FAR and evaluation of model performance
Determination of operation efficiency in longwall mining face
Conclusions
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