Estimating Coal Permeability Using Machine Learning Methods

Published: Nov 12, 2020
Abstract
Bulk permeability of coal is a critical parameter in coalbed methane (CBM) or coal seam gas (CSG) well completion designs and field development planning. The estimation of permeability can be made by well testing either during drilling or production; however, well tests are costly, time sensitive and resource-intensive. Therefore, field-wide estimates are often dependent on production data history-matching, which has a high degree of...
Paper Details
Title
Estimating Coal Permeability Using Machine Learning Methods
Published Date
Nov 12, 2020
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