Updated Lithological and Temperature model in Sorik Marapi geothermal field, Indonesia | SLB

Updated Lithological and Temperature model in Sorik Marapi geothermal field, Indonesia

已发表: 07/11/2024

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PROCEEDINGS, The 6th Indonesia International Geothermal Convention & Exhibition (IIGCE) 2018

 

Sorik Marapi is one of geothermal field in Indonesia that has been drilled, with results indicating the existence of a high temperature-neutral resource. To achieve the target 240 MW installed capacity, understanding reservoir condition of this field at exploration stage is the key. In this case, lithology and temperature values in geothermal can be used as parameters for reservoir characterization and creating dynamic reservoir model.

Initial modeling works in the field has been completed and discussed in previous study to create 3D conceptual subsurface model, including structural, lithology, resistivity and temperature distribution. This paper deals with the 3D modeling studies conducted in the same field, based on available data from surface exploration (3G-geological, geochemical & geophysical) surveys, and additional data from deep drilling in several wells path.

The objective of this new paper is to build updated geological and temperature models with additional 10 wells data and give explanation about reservoir characterization in Sorik Marapi geothermal field, including new reservoir delineation based on the new model.

The 3D subsurface modeling uses Petrel® software from Schlumberger which allows multidiscipline data integration. The 3D model containing structural, lithology, resistivity and temperature model from the 14 wells in the area. The workflow in the models starts with data loading and quality control, prepare structural model and 3D grid for reservoir property modeling, create 3D model of lithology, resistivity and temperature. The result of this study will be the 3D subsurface static model defining the vertical and lateral resource boundaries as well as the prime resource areas which would be the basis of designing next well targets. This model can be expanded to build updated numerical model, as parameter for reservoir simulation of geothermal field in the next stage.

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