ESTIMATION OF COAL SEAM METHANE CONTENTS USING FUZZY LOGIC METHOD

Year 2022, , 471 - 480, 21.12.2022

Nilüfer Kurşunoğlu

https://doi.org/10.31796/ogummf.1135126

Cited By: 1

Abstract

The coalification process results in variations in both the physical properties and chemical structure of the coal. Sorption capacity is a characteristic feature of coal. Methane is one of the major threats in underground coal mines and also an environmental issue of gas emissions from coal mining. Methane content depends on a range of processes such as gas migration, accumulation, and generation. Its quality and quantity differ substantially depending on the rank and depth of the coal seam. With the increase in mining depths, methane becomes an important danger due to the risk of explosion. Therefore, the prediction of methane contents according to different and changing working conditions is an important issue in terms of mine safety. The Fuzzy Logic method which provides a quick and reliable solution was preferred to estimate coal seam methane contents in this study. The aim of the study is to propose an alternative way to prevent possible mining accidents by estimating coal seam methane contents using the Fuzzy Logic methodology. The model results were compared with the field methane contents. The results indicate that the Fuzzy Logic model can provide a reliable prediction way with a 91% success rate.

Keywords

Coal, mine, methane, fuzzy logic, safety

KÖMÜR DAMARI METAN İÇERİKLERİNİN BULANIK MANTIK YÖNTEMİ İLE TAHMİNİ

Abstract

Kömürleştirme işlemi, kömürün hem fiziksel özelliklerinde hem de kimyasal yapısında değişikliklere neden olur. Sorpsiyon kapasitesi, kömürün karakteristik bir özelliğidir. Metan, yeraltı kömür madenlerinde önemli tehtidlerden biridir ve ayrıca kömür madenciliğinden kaynaklanan gaz emisyonlarının çevresel bir sorunudur. Metan içeriği, gaz göçü, birikimi ve üretimi gibi bir dizi sürece bağlıdır. Kalitesi ve miktarı, kömür damarının derecesine ve derinliğine bağlı olarak büyük ölçüde farklılık gösterir. Üretim derinliklerinin artmasıyla birlikte metan, patlama riski nedeniyle önemli bir tehlike haline gelmektedir. Bu nedenle metan içeriklerinin farklı ve değişen çalışma koşullarına göre tahmin edilmesi maden güvenliği açısından önemli bir konudur. Bu çalışmada kömür damarı metan içeriklerinin tahmininde hızlı ve güvenilir bir çözüm sunan Fuzzy Logic yöntemi tercih edilmiştir. Çalışmanın amacı, Bulanık Mantık yöntemi ile kömür damarı metan içeriklerini tahmin ederek olası maden kazalarını önlemek için alternatif bir yol önermektir. Model sonuçları yerinde metan içerikleri ile karşılaştırılmıştır. Sonuçlar, Bulanık Mantık modelinin %91 başarı oranı ile güvenilir bir tahmin aracı olabileceğini göstermektedir.

Keywords

Kömür, maden, metan, bulanık mantık, güvenlik

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