Wednesday, Nov 13

The future of Oil and Gas companies

The future of Oil and Gas companies

– Five ideas can help organizations adapt as technological and political trends reshape the industry.

Today’s oil and gas organizations were developed in a time of resource scarcity. To get at those hard-to-find, difficult-to-develop resources, companies built large, complex organizations with strong centralized functions. This model allowed them to tackle terrific technical challenges, manage great political and operational risks, and deploy scarce talent across the world as needed.

While these reasons were all valid during a decade of high growth, this organizational journey also led to substantial complexity for large players—adding cost, stifling innovation, and slowing down decision making.

Three game-changing trends are reshaping the industry

This organizational model is no longer sustainable with oil prices below $50 a barrel. More important, though, it is no longer necessary. The world is now entering a time of great change, with major societal, technological, and political trends reshaping the environment in which oil and gas companies operate.

There are three potentially game-changing disruptions that will lead oil and gas companies to rethink their operating models fundamentally:

A world of resource abundance is leading to sustained lower oil prices and a focus on cost, efficiency, and speed. Talent is no longer scarce, exploration capability is less of a differentiator, megaprojects are not the only way to grow, and market opportunities may only be economical for the earliest movers in a basin.

Meanwhile, conventional, deep-water, unconventional, and renewable assets each require a distinct operating model that cannot be delivered optimally from a single corporate centre.

Profound technological advances are disrupting old ways of working and enabling step changes in productivity. Jobs, including knowledge work, are being replaced by automation on a large scale, and those that remain require increased human-machine interaction.

Data generation continues to grow exponentially, as every physical piece of equipment wants to connect to the cloud. This explosion of data—combined with advanced analytics and machine learning to harness it—creates opportunities to fundamentally re-imagine how and where work gets done.

Demographic shifts mean that employees are demanding changes in the working environment and expressing concerns about the role of oil and gas companies in society. Millennials will constitute a majority of the global workforce by the early 2020s and have already started their climb into management and even executive roles.

“Digital natives” in the driver’s seat will bring their own expectations of technology, collaboration, pace, and accountability. Oil and gas companies may need more profound changes to meet demands for meaningful work and social responsibility to attract the next generation of top engineering and leadership talent.

Five big ideas for the oil and gas organization of the future

In response to these disruptions, there are five big ideas for how organizations can adapt:

Organizational agility: The relentless pace of change puts a premium on the ability to adapt quickly to changing conditions—in other words, to be agile. Agility combines two distinct concepts: dynamic capabilities, such as the ability to rapidly form cross-functional teams and reprioritize tasks to adapt quickly, and a stable backbone of core value-adding processes and cultural norms that provide resilience, reliability, and relentless efficiency.

While many companies tend to think they must make a trade-off between dynamism and stability, research shows that agile organizations master both at the same time. This is not a simple transition, however.

The agile oil and gas organization will look and feel very different from today. While other industries are further along the agility curve, many oil and gas companies already have pockets of agility. At the same time, agility is not meant to be chaos. For the dynamic elements to succeed, they must be linked to a stable backbone.

This will include a small number of simple but mandatory processes that are universally followed, a common culture to allow faster collaboration and instant access to reliable data and the full company’s knowledge base. Aggressively standardizing and simplifying processes can allow companies to react quickly to unforeseen events while improving safety and productivity. Perhaps the biggest change required in the backbone is to repackage and structure work to enable small teams to form, take a defined task, and execute it quickly.

Digital organization: Organizations have been digitizing for decades, but the digital revolution is still only just beginning. Within a few years, the Internet of Things will consist of more than a trillion sensors that generate and share data.

Artificial intelligence and machine learning are no longer science fiction, and human-machine interaction is becoming ever more frequent. These innovations are about to change the way oil and gas companies work in three substantial ways:

A step change in safety and productivity will result from digitizing both technical and nontechnical work in a way that automates 60 to 90 percent of routine manual activity while identifying true best practices. This means better safety both because fewer people will be at risk and because automation is reducing the risk of human error. It also means great improvements in workforce productivity.

New job classes and capability profiles will rise, and many of these (such as data scientists, statisticians, and machine learning specialists) simply don’t exist in oil and gas companies today. Within ten years, oil and gas companies could employ more PhD-level data scientists than geologists, either in-house or through partnerships with increasingly sophisticated vendors. Meanwhile, existing roles will be redefined. For instance, the automation of repetitive technical decisions will free up engineers to focus on more difficult analyses.

There will be new ways of managing people and performance. Many human-resources functions are already investing in advanced analytics to mine large data sets about their workforce—training history, productivity, calendar and email, surveys, social media profiles, and so on—to identify the drivers of employee performance, recruitment, retention, and employee engagement.

The millennial-managed organization: Millennials are no longer a small group of new university graduates; in many oil and gas companies, they occupy managerial roles and are starting to climb into the executive ranks. As they rise through the organization, millennials will bring their own ideas about collaboration, accountability, and the use of technology.

The decentralized company: Over the past 15 years, the corporate centres of most oil and gas companies grew significantly, as a way to manage risk, leverage scale, and share scarce technical talent. However, many of the forces underpinning the drive to centralize have now eroded. The collapse in crude prices has made large overhead costs unaffordable, and slow decision making has become a threat to long-term viability.

In parallel, the rise of lower-risk asset types, such as light tight oil, has changed the thinking about the role of the corporate centre. In particular, success in unconventional and late-life operations requires local coordination and integrated decision making at the front line—not layers of review from corporate.

As a result, it is expected that some oil and gas companies will reverse the 15- year trend by decentralizing business and technical work, creating a corporate core that is radically smaller than today’s. However, this will not be consistently felt across assets. Managing risk—technical, commercial, and operational—is still a compelling reason to centralize and is particularly evident for high-complexity plays such as deep-water, frontier, and liquefied-natural-gas (LNG) assets.

Two dominant models will arise: lower-risk assets employing a very lean corporate centre with highly autonomous asset teams, and higher-risk, more-capital-intensive assets employing a much stronger centre with deep functional capabilities and a strong emphasis on risk management. Consequently, firms with a broad portfolio will feel the tension as they try to accommodate fast-paced, risk-taking operating models alongside slower, more risk-averse ones.

We expect to see continued experimentation with models that recognize the differences, including separate business units or holding company structures. To succeed, this requires truly differentiated governance and performance metrics. In extreme cases, there’ll be total separations or spin-offs as the best way to manage the complexity— much as there’s been long-term separation of downstream from upstream.

A redefinition of what’s core: Companies are thinking again about what activities they need to control in-house versus those they manage via partnerships and supply chain relationships. It is believed the future oil and gas company will more closely resemble today’s industrial manufacturers, with a move away from tactical contractual arrangements and toward long-term strategic partnerships with a network of tier-one and tier-two suppliers.

Similarly, in a world of plentiful resources, access is no longer a key strategic differentiator, and large oil companies may increasingly rely on specialized explorers rather than in-house exploration teams for reserve replacement. These developments are driven in part by cost and market pressure, as costs have risen to unsustainable levels and operators must find cheaper ways of working.

Moreover, the current market is pushing oil-field-services-and-equipment (OFSE) players to aggressively market integrated service packages, resulting in new partnerships formed out of mutual necessity. Last, breakthrough digital technologies are being deployed in core upstream operations, disrupting the business model and creating entry points along the value chain for original equipment manufacturers and OFSEs. As a result, oil and gas companies must take a much closer look at their relative value drivers to determine where to play.

Social