An Integrated Platform for IIoT in E&P: Closing the Gap between Data Science and Operations

Abstract

Although major E&P companies have been investing in data-driven modeling and analytics in the Big Data era, expected cost reductions and efficiency improvements have scarcely been realized, mainly due to the overhead related to operationalizing analytics and models. This paper proposes the architecture of an industrial internet of things (IIoT) platform that minimizes the overhead and accelerates value creation in the context of the digital oilfield. The proposed IIoT platform is an integrated portal for all members working in the same ecosystem, including data scientists, data engineers, operation engineers, business analysts, and IT administrators. It is the first platform focusing on minimizing the gap between in-house modeling teams and operation teams in an industrial context. This work successfully addresses the challenge of operationalizing the digital oilfield, in turn catalyzing smart operations through industrial analytics.