Unravelling the 'sweet spot' potential of fractured basement in Ketaling High by integrating complex seismic attribute and resistivity log evaluation.
Year: 2021
basins:
Proceedings Title : PROCEEDINGS, INDONESIAN PETROLEUM ASSOCIATION, Forty-Fifth Annual Convention & Exhibition, 1 - 3 September 2021
A proven Pre-Tertiary basement reservoir along NE-SW Ketaling high trend were already known throughout well test in several wells more than 15 years ago, but lack of interest in basement fractures gas on those past years and limited data provided, locked a potential gas accumulation in fractures. The most recently added data from 3D Seismic data and re-evaluation of log data, could seized those prospect.
Combination of structural smoothing towards edge - detecting attributes are conducted, preceding ant track attribute generation as initial input for multi scale fault extraction. The following result is fracture distribution depicting area with intensive fracture location. Fracture intensity cube requires validation from well data. With no core data, slightly indication from drilling data, and only basic log available, resistivity log is a reliable option to be used. Log evaluation technique using response analysis of two resistivity by Rasmus (1982) is performed to identify fracture and fluid content in the basement reservoir, where the higher ratio between LLD/LLS indicate higher fracture intensity.
Based on log evaluation method applied in K-1 well, the interval with massive fracture development is identified in metamorphic basement interval. The outcome coincide with the interval which later proven to produce gas higher than 1 MMscfd from production test result. Similarly, fracture intensity distribution from complex seismic attribute, ratified the conclusion from the respective method as well. To test the robustness of this method, identical workflow is assigned on other adjacent well penetrating basement interval, where no indication of hydrocarbon existence. Less intensive fracture interval is concluded occur on the respective well location, which responsible of no accumulation of hydrocarbon on the basement reservoir.
The proposed workflow and method can be a solution for overlooked fracture basement reservoir optimization analysis due to limited available subsurface data condition.
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