Digital Transformation in the Offshore Oil and Gas Exploration and Production supply chain operations
Abstract
The offshore oil and gas exploration and production (E&P) industry currently faces
significant challenges that jeopardise its profitability and future. Sustainable operations
are needed to comply with increased regulations and to help address climate change,
while at the same time, global demand for energy and other consumable products is
increasing at a rate that alternative sources of energy cannot meet alone.
Nonetheless, competing sources of energy pose an economic challenge to the industry,
which needs to reinvent itself to remain competitive and become more sustainable.
Meanwhile, higher competition for exploration areas and increased complexity in their
exploitation translate into higher capital and operational costs and lower oil prices,
which usually result in lower profits.
Sources such as DNV, UNDP, Boston Consulting and McKinsey strongly suggest that the
Norwegian E&P industry requires a digital transformation of its operations, and the
industry has been adopting technology and digital solutions to tackle these challenges.
To this end, the recommended and adopted technology has mostly focused on the
drilling operations and offshore activities within the industry. Paradoxically, the support
offered to drilling operations by supply chain and logistics operations have been
minimal, with limited software and tool upgrades focused on replacing the “pen and
paper” practises of everyday operations without taking advantage of potential benefits
for streamlining or integrating the functions.
This research addresses these challenges by investigating the transformation already
started in the offshore E&P supply chain operations support underway in an established
Norwegian operator and aims to contribute to the success of this transformation
through (1) an analysis of how the operational functions can be made more efficient, (2)
a presentation of potential alternatives based on research into state-of the art options,
and (3) a strategic roadmap as a guide for their implementation. The discussion in this
research, the proposed alternatives and the roadmap focus on the supply chain and
logistics support to the drilling operations that are part of E&P due to the sheer size of
the industry and the value of addressing an area most in need of attention.
The research was designed as a longitudinal action research study conducted in three
cycles over three years, resulting in three articles that present the research outcomes
and contributions. The body of knowledge of this research lies mostly within supply
chain management and system theory, while systems engineering and systems thinking
have greatly influenced this research. Systems engineering and systems thinking
provided the foundation to design and execute this research. Their methods and
approaches provide a transdisciplinary and integrative way of looking into complex
systems to focus on how to design, integrate and manage them, using multidimensional
principles and concepts from several scientific fields.
The results from this research are presented in relation to the supply chain operations’
“AS-IS” and desired “TO-BE” states. To reach the research objective, a thorough
investigation of the operator’s operational structure, its goals, and the potential
alternatives to reach these goals was conducted. This investigation showed that the
current “AS-IS” supply chain operations are fragmented into silos within and across the
organisation, lack software and data interoperability, and have a high dependency on
manual inputs to collect the information that is required to execute the operational
tasks. Three root causes were identified: (1) a traditional organisational culture that
dictates how operations are conducted, (2) a traditional lack of urgency in improving
supply chain operations due to high profit margins, and (3) failure to invest in technology
that focuses on supply chain operations. The desired “TO-BE” vision presented by the
stakeholders involved in this research shows an end-state for supply chain that
addresses different organisation levels, with focus spread into cultural, organisational,
operational, and technological elements.
The results indicate that technology and organisational change are at the centre of the
desired transformation for supply chain operations. With technology at the centre of
supply chain activities, the focus shifts to automation, software, and data
interoperability, and the use of data as triggers to operations to decrease the
dependency on manual intervention. The results show that such an infrastructure could
be expected to lead to more autonomy, that is, less reliance on human decisions that
could be a bottleneck to the efficiency of operations and suggests potential changes to many other aspects of current operations. The results also indicate that this
transformation and vision can only be reached through organisational and cultural
changes that embrace new approaches to how operations are to be conducted.
The main contributions from this research are threefold: (1) for the industry, (2) for
academia, and (3) for policymaking. Contributions to the industry include the
description and visualisation of current and desired states through rich-picture
techniques that provide the convergence of goals and ideas from multiple stakeholders
into one common image that can serve both the operator and as a benchmark for other
operators in the industry. Still, with the industry in focus, this research contributes to
the body of knowledge by suggesting methods and techniques that the Operator and
others in the industry can adopt to innovate their business models as a precursor to help
them in this transition from current ways of working to newer, more digital, ones.
Finally, this research presents a strategic roadmap that shows the steps to be taken to
conduct this transformation based on the identified “AS-IS”, “TO-BE” and proposed
alternatives, thus helping to achieve a successful digital transformation journey.
The academic contributions from this research come in the form of helping to enrich the
existing literature and practice through the dissemination of empirical, scientifically
peer-reviewed reports from an industry that is mostly new to the existing offshore E&P
and the upstream supply chain academic literature. The present research also presents
soft systems engineering applications in a domain that expand and contribute to its body
of knowledge and literature. Technology roadmapping for the oil and gas industry is
relatively undocumented, and this research offers a practical adoption of the
methodology through a scientific process and with peer-reviewed disseminated results
for a traditional and engineering-oriented industry.
Finally, this research contributes to policymaking by providing real-world observations
from the offshore E&P industry that may contribute to the creation, verification, and/or
validation of policies aimed at the industry. Although the results of this research are not
intended to be generalised to the whole industry, the information revealed in this
research is in line with the generalised industry tendencies exposed by the accredited
research institutions that were used as sources of data collection in this research. The information revealed through this research gives explicit direction based on the
Operator’s current status on important issues, such as sustainability, and the direction
that operations are heading in relation to technology creation and adoption, digital
solutions, and technological innovation. Such information guides decisions towards
policies aimed at sustainability and human/work relationships within the E&P industry.
Has parts
Article 1 (not in online edition): Czachorowski, K.V., Haskins, C., Mansouri, M. (2021). Minding the gap between the front and back offices: A systemic analysis of the offshore oil and gas upstream supply chain for framing digital transformation (Systems Engineering, in review).Article 2: Czachorowski, Karen V. (2021). Cleaning Up Our Act: Systems Engineering to Promote Business Model Innovation for the Offshore Exploration and Production Supply Chain Operations. Sustainability 13, no. 4: 2113. https://doi.org/10.3390/su13042113
Article 3 (not in online edition): Czachorowski, K.V., Haskins, C. (2021). Applying systems engineering to roadmapping for digital transformation in the offshore exploration and production supply chain operations. Systems Engineering, 1 - 16. https://doi.org/10.1002/sys.21611