Transact to transform through strategic sector M&A
While high interest rates and inflationary pressures cooled dealmaking in many sectors, the sector has seen a surge in announced oil and gas mergers and acquisitions (M&A) activity last year, driven by strong cash flows, renewed investor confidence and increasing recognition that oil and gas will continue to play an important role in the energy landscape.
While deals have grown again, including more enterprise-level transactions than seen in the recent past, companies are executing transactions in areas that meet well-defined strategic rationales, in both the traditional oil and gas space, as well as in new low-carbon businesses. “Ultimately, the industry wants to match the best operator with each asset, to drive performance across operations, and optimize capital and carbon management. This has set the stage for a wave of consolidations, with integrated oil companies and large E&Ps (exploration and production companies) looking to secure acreage, enhance their cash flow and maximize returns via acquisition, rather than traditional exploration,” says Bruce On, EY US-West Region Strategy and Transactions Energy Leader, Ernst & Young LLP.
One indication of this disciplined approach is the lower premiums paid for in many of these deals, compared with similar deals in the recent history of the sector. Identifying a target, completing your due diligence, and announcing the deal is only the beginning of the hard work. Oil and gas companies need to attack post-close integration with the same vigor to realize the full value of these deals. Integrating the best of both organizations, across their front- and back-office operations, enables success.
Maximize operations across the front and back office
The influx of oil and gas M&A also creates a case for companies to improve business fundamentals, such as driving down operating costs, leveraging scale, jumping the curve on differentiated capabilities and strategically thinking about talent management.
Maximizing operations is not a new description for simply doing “more with less.” Rather, it is operating by exception and problem-solving using technology at speed, innovation at scale with humans at the center. “To drive immediate results and limited disruption, we are collaborating with teams responsible for performance in the field, subsurface, production-operations, facilities, maintenance and supply chain,” says Swapnil Bhadauria, EY US Oil & Gas Digital Operations Leader. “We take a people-led approach in our business or technology transformation implementations. In every project, people are critical and the change champions that ultimately drive success.”
Real-time data and emerging technology are essential to enable better, faster, and more strategic decisions. This is true holistically across the entire value chain – in both the front office and back office, but also specifically in subsurface prediction, drilling and completions, asset surveillance and optimization, maintenance, and materials management.
Considering different operating models, such as managed services, is particularly important when companies develop new business areas. For example, the front- and back-office functions for low carbon will be different from traditional oil and gas. As low-carbon business areas begin to scale, companies should consider multiple operating models before committing to specific processes and technologies. This will allow them to find synergies by integrating traditional business areas or pivot to innovative and emerging ecosystem models.
Lastly, oil and gas companies that are able to integrate artificial intelligence (AI) and generative AI (GenAI) capabilities in their everyday decision-making will jump the curve on business value. This shift will require companies to establish a strong foundation of trusted data while also implementing AI and GenAI engineering best practices, robust governance and risk management. The adoption curve for AI is faster than for any other technology so far, so companies must act quickly.
By 2025, the 10% of enterprises that establish AI engineering best practices will generate at least three times more value from their AI efforts than the 90% of enterprises that do not.¹
“With confident and responsible adoption of AI, oil and gas companies will unlock the full potential of their workforce, have a greater impact on daily operations, accelerate real-time decision-making, and positively impact the bottom line,” Bhadauria explains.