Daerah panasbumi Gunung Sumbing terletak di Desa Renah Kemumu, Kecamatan Jangkat, Kabupaten Merangin, Provinsi Jambi pada ketinggian ± 900 mdpl. Keberadaan manifestasi panasbumi di lokasi penelitian diduga belum terpetakan seluruhnya. Untuk mengidentifikasi sebaran manifestasi panasbumi dapat menggunakan Citra Landsat 8 berdasarkan sensor TIRS pada band 10. Akuisisi data geolistrik menggunakan konfigurasi dipole-dipole dilakukan sepanjang manifestasi air panas dan tanah beruap dengan panjang lintasan 750 m dan spasi elektroda 25 m. Penelitian ini bertujuan mendapatkan sebaran manifestasi panasbumi berdasarkan suhu permukaan tanah dari Citra Landsat 8 dan mendeskripsikan lapisan batuan bawah permukaan dalam menganalisis karakteristik hot springs flow berdasarkan metode geolistrik. Suhu permukaan tinggi berkisar 21-30°C berada di bagian baratdaya daerah penelitian. Hasil pengukuran geolistrik menunjukkan fluida hidrotermal dengan resistivitas 5 – 40 Ωm. Hal itu dikarenakan fluida hidrotermal berasosiasi dengan batuan alterasi sehingga bersifat konduktif. Aliran fluida hidrotermal teridentifikasi pada kedalaman 0 m hingga 25 m. Berdasarkan integrasi data geologi, faktor pengontrol adanya manifestasi mata air panas disebabkan oleh segmen Sesar Dikit dan batuan Vulkanik di daerah penelitian.Katakunci: Citra Landsat 8, metode geolistrik, panasbumi, hot springs flow.

Drilling is one of the major cost components in geothermal exploration and development. Effective and cost-efficient drilling significantly contribute to the success of geothermal development. Key factors in reducing drilling costs are optimising operations, utilising manpower to its fullest potential, and also benchmarking with other drilling activities to evaluate one’s performance objectively. This is possible if the information regarding the previous drilling activities is stored and easily gathered and analysed before making plans for the drilling campaign. The importance of drilling data analysis and drilling data management have been a subject of study and discussion since the 1980s, but it is still not that common in geothermal drilling, especially in Indonesia. The purpose of this paper is to summarise the definition and examples of drilling data management in a more well-established industry such as oil and gas from various studies in the past, assess the advantages of having a proper drilling database or data management system, and how can the data be used for potentially improving future drilling operation. A case study of converting legacy data from previous drilling campaign of two geothermal fields in Java into a database is also discussed to demonstrate how legacy drilling data can be used to evaluate drilling performance.