INTEGRATION OF CONVENTIONAL WELL LOGS AND MACHINE LEARNING APPROACHES FOR FRACTURE TYPE PREDICTION: A CASE STUDY ON VOLCANIC RESERVOIRS IN INDONESIA

Volcanic reservoirs are valuable targets in the oil and gas industry due to their potential for hydrocarbon storage. Secondary porosity plays a crucial role in storage capacity and fluid flow within volcanic reservoirs. However, predicting secondary porosity in volcanic reservoirs poses significa...

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主要作者: Arifinka Alhazmi, Enricho
格式: Theses
語言:Indonesia
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在線閱讀:https://digilib.itb.ac.id/gdl/view/84949
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