Two Decades of Smart Field Evolution (2005–2025): Global Insights and Indonesian Perspectives

Amega Yasutra

doi:10.29017/scog.v48i3.1870

Authors

Amega Yasutra Petroleum Engineering Institut Teknologi Bandung

DOI:

https://doi.org/10.29017/scog.v48i3.1870

Keywords:

Smart Field, Digital oilfield, artificial intelligence, Integrated operation, digital transformation

Abstract

Between 2005 and 2025, smart field technologies evolved from sensor-based pilots into enterprise-wide digital operations and, more recently, AI-enabled workflows. This review of 36 technical papers from SPE, OTC, IPTC, URTeC, JPT, and SCOG maps advances, outcomes, barriers, and mitigation strategies across four eras: pilots (2005–2010), integration (2011–2015), enterprise adoption (2016–2020), and AI-driven operations (2021–2025). Findings show that while innovations such as real-time surveillance, digital twins, and predictive analytics expanded steadily, measurable success depended equally on leadership, governance, and workforce readiness. Representative cases—including Chevron San Ardo, Saudi Aramco Haradh-III, Equinor’s cloud-enabled intervention, Petrobras’ Mero field, Pertamina Hulu Rokan’s SSDP dashboard, and Pertamina EP’s machine learning application for idle well reactivation in the Cepu mature field—demonstrate both global and Indonesian perspectives. Lessons indicate that Indonesia is not only adopting but also actively contributing to digital oilfield practices. Coordinated actions from regulators, operators, and academia are required to accelerate adoption, sustain mature field productivity, and strengthen national energy security.

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