Enhancing Thin Coal Seam Detection in Eastern Indian Coalfields Using ICWT-Decon-Based Seismic Attributes and Acoustic Impedance Inversion

IF 2.2 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Minerals Pub Date : 2024-09-07 DOI:10.3390/min14090920
Naresh Kumar Seelam, Thinesh Kumar, Santosh Dhubia, Gangumalla Srinivasa Rao, Sanjit Kumar Pal
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Abstract

A high-resolution seismic survey (HRSS) is often used in coal exploration to bridge the data gap between two consecutive boreholes and avoid ambiguity in geological interpretation. The application of high-resolution seismic surveys in the Indian context is challenging as the delineation of thin non-coal layers within the coal layer requires a very high seismic data resolution. However, conventional seismic processing techniques fail to resolve thin coal/non-coal layers and faults, which is crucial for the precise estimation of coal resources and mine economics. To address these issues, we applied the inverse continuous wavelet transform deconvolution (ICWT-Decon) technique to post-stack depth-migrated seismic sections. We examined the feasibility of the ICWT-Decon technique in both a synthetic post-stack depth-migrated model and 2D/3D seismic data from the North Karanpura and Talcher Coalfields in Eastern India. The results offered enhanced seismic sections, attributes (similarity and sweetness), and acoustic inversion that aided in the precise positioning of faults and the delineation of a thin non-coal layer of 4.68 m within a 16.7 m coal seam at an approximate depth of 450 m to 550 m. This helped in the refinement of the resource estimation from 74.96 MT before applying ICWT-Decon to 55.92 MT afterward. Overall, the results of the study showed enhancements in the seismic data resolution, the better output of seismic attributes, and acoustic inversion, which could enable more precise lithological and structural interpretation.
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利用基于 ICWT-Decon 的地震属性和声学阻抗反演加强印度东部煤田的薄煤层探测
高分辨率地震勘探(HRSS)通常用于煤炭勘探,以弥补两个连续钻孔之间的数据差距,避免地质解释的模糊性。在印度应用高分辨率地震勘探具有挑战性,因为在煤层中划分薄的非煤层需要极高的地震数据分辨率。然而,传统的地震处理技术无法解析薄煤层/非煤层和断层,而这对于精确估算煤炭资源和煤矿经济效益至关重要。为了解决这些问题,我们将反连续小波变换解卷积(ICWT-Decon)技术应用于叠后深度移动地震剖面。我们在合成叠后深度移动模型和印度东部北卡兰普拉和塔尔彻煤田的二维/三维地震数据中检验了 ICWT-Decon 技术的可行性。研究结果增强了地震剖面、属性(相似度和甜度)和声学反演,有助于精确定位断层,并在约 450 米至 550 米深的 16.7 米煤层中划分出 4.68 米的非煤薄层。总之,研究结果表明,地震数据分辨率、地震属性输出和声学反演都得到了提高,从而可以进行更精确的岩性和构造解释。
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来源期刊
Minerals
Minerals MINERALOGY-MINING & MINERAL PROCESSING
CiteScore
4.10
自引率
20.00%
发文量
1351
审稿时长
19.04 days
期刊介绍: Minerals (ISSN 2075-163X) is an international open access journal that covers the broad field of mineralogy, economic mineral resources, mineral exploration, innovative mining techniques and advances in mineral processing. It publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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