TY - GEN
T1 - Cloud-Based Exploration Collaboration Tools for Managing Nation-wide Upstream Oil and Gas Exploration Activities
AU - Damayanti, S.
AU - Saputra, S. E.
AU - Andre,
AU - Nurwani, C.
AU - Amir, F. T.
AU - Rubianto, M. Z.
AU - Wibowo, T.
AU - Affandi, R.
AU - Rahmawati, F. F.
AU - Sitompul, S.
AU - Marbun, R.
AU - Musa, R.
AU - Septiningrum, W.
N1 - Funding Information:
We would like to express our gratitude to the Energy and Mineral Resources (EMR) Ministry of Indonesia, National Data Center (PUSDATIN), SKK Migas and Schlumberger management for the support of this paper and the permission to publish it. Moreover, all the project team in addition to the author and co-authors, namely in Schlumberger - Dicky Fahnudi, Abrarriadi, Antonius Djoko Wenang, Wimaya Septiningrum, Novia Andriani, Sofyan Fauzy, Paimin Pakpahan, Daiye Zheng, Andreas Laake, Claire Castagnac, Cassandra Warren, Fredrik Stabell, Farliz Nozanda, Victoire Roblet-Bambridge, Sri Susilo, Per Audun Hole, Paul Hultzsch, Cicero Yuri Majikol, and Joko Sosiawan Trikukuh.
Publisher Copyright:
© 2022 2nd EAGE Digitalization Conference and Exhibition. All rights reserved.
PY - 2022
Y1 - 2022
N2 - SKK Migas, the Indonesia Oil and Gas Regulatory Body, has set the ambitious goal to achieve 1 million BOPD oil and 12 Bscf/D gas production in 2030. To achieve this, one of the aggressive transformation plans is to enhance exploration activity to find the next giant discoveries. A cloud-based exploration planning solution is seen as the best solution to execute this plan swiftly and efficiently. The exploration planning solution powered by artificial intelligence/machine learning (AI/ML) capabilities enables high-quality exploration planning in less time with better-informed decision-making through an open, collaborative, cloud-based environment that enables transparency and focus on shared business objectives. For operators, this cloud-based exploration planning solution will help them streamline the exploration planning process and allow them to be more agile in adapting to market changes, achieving better efficiency and larger returns on investment in future exploration. For SKK Migas, better exploration planning means that a consistent approach is applied across the entire exploration portfolio. This enables SKK Migas to carry out their responsibilities in managing and monitoring all exploration projects or activities more effectively. The first stage of the cloud-based exploration planning solution has successfully been implemented for three basins (North East Java, Kutai, and South Sumatra).
AB - SKK Migas, the Indonesia Oil and Gas Regulatory Body, has set the ambitious goal to achieve 1 million BOPD oil and 12 Bscf/D gas production in 2030. To achieve this, one of the aggressive transformation plans is to enhance exploration activity to find the next giant discoveries. A cloud-based exploration planning solution is seen as the best solution to execute this plan swiftly and efficiently. The exploration planning solution powered by artificial intelligence/machine learning (AI/ML) capabilities enables high-quality exploration planning in less time with better-informed decision-making through an open, collaborative, cloud-based environment that enables transparency and focus on shared business objectives. For operators, this cloud-based exploration planning solution will help them streamline the exploration planning process and allow them to be more agile in adapting to market changes, achieving better efficiency and larger returns on investment in future exploration. For SKK Migas, better exploration planning means that a consistent approach is applied across the entire exploration portfolio. This enables SKK Migas to carry out their responsibilities in managing and monitoring all exploration projects or activities more effectively. The first stage of the cloud-based exploration planning solution has successfully been implemented for three basins (North East Java, Kutai, and South Sumatra).
UR - http://www.scopus.com/inward/record.url?scp=85127967496&partnerID=8YFLogxK
U2 - 10.3997/2214-4609.202239036
DO - 10.3997/2214-4609.202239036
M3 - Conference contribution
AN - SCOPUS:85127967496
T3 - 2nd EAGE Digitalization Conference and Exhibition
BT - 2nd EAGE Digitalization Conference and Exhibition
PB - European Association of Geoscientists and Engineers, EAGE
T2 - 2nd EAGE Digitalization Conference and Exhibition
Y2 - 23 March 2022 through 25 March 2022
ER -