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The growing adoption of digital tools has helped many in the oil, gas, and chemical industry break down functional silos, improve value chain visibility, and move from functional excellence to value chain excellence. As these companies now enter new low-carbon value chains, however, the challenge they may face is maintaining this excellence and integrating these new value chains, which will likely grow and shift over time.
While operating an integrated value chain model can offer advantages, it is often influenced by dynamic and unpredictable factors with daisy chain implications. For instance, the consistent and timely availability of raw materials such as corn (for biofuels) or used plastic (for advanced recycling) can be challenging. Additionally, the unpredictability of demand and price forecasts presents another layer of complexity for companies entering new value chains. When renewable volume obligations turned out to be lower than anticipated, for example, it resulted in oversupply and significantly reduced profitability.1 This illustrates the uncertainty and volatility that can affect planning and execution in this model. Considering these dynamics, how can companies apply existing value chain management capabilities to better manage risks, volatility, and uncertainty in these new business areas?
Commercially enabling these new value chains likely requires a customer-focused mindset and agile operating model. The operating model used in traditional supply-driven petroleum refining, for instance, cannot be directly applied to the demand-driven renewable fuel business. To overcome this incompatibility, companies should consider:
At the same time, digital technologies are expected to continue to play a crucial role in identifying new areas of efficiency across value chains, as they have in the past. These technologies could become integral to management’s decision-making around value chain integration. By implementing integrated systems and advanced analytics capabilities, companies could link cost-to-serve data with profit pools, thereby informing complex trade-off decisions and identifying efficiencies along the value chain. This approach can enhance transparency, foster agility to unlock commercial outcomes, and empower decisions that optimize enterprise margins over individual functional silos.
To help improve operational efficiency, the oil, gas, and chemicals industry has made investments in technological advancements, including automation, the Internet of Things, cloud analytics, and data integration, and effectively deployed capital within its portfolios. Deloitte’s analysis of industry metrics shows that over the last five years, the industry’s capital expenditures increased by 19%,2 while information technology spending has increased by 26%.3 This has helped improve efficiency and reduce environmental impacts, with US shale operators improving their production output-per-rig from new oil wells by 58% over the last five years.4 While the focus of the industry’s digital transformation has largely been on cost reduction and efficiency enhancement, these investments have also improved the environmental impact of the oil and gas (O&G) industry operations, reducing emissions for the top 25 O&G companies by 3% during the same period.5 However, these digital advances have likely not yet been fully leveraged to develop new businesses, particularly low-carbon businesses, or to integrate these effectively with existing operations.
Despite the numerous new low-carbon opportunities that exist, Deloitte’s analysis identified the following low-carbon areas, which can be categorized into molecules, materials, electrons, and all (figure 1).
Although these opportunities might seem diverse at first glance, the potential complexity involved in integrating these opportunities within the traditional value chain might be a barrier to some new entrants. Viewed through the lens of molecules, materials, and electrons, however, the analysis reveals opportunities that can support their integration (figure 2; for a more clearer view of figure, please click here to download the PDF version).
A successful integration of new value chains with the existing base business could have the potential to retain the company’s focus not only on functional excellence (for example, sales, finance, marketing, etc.) but also on value chain excellence (for example, business units, products, logistics, etc.).
On the path to a future defined by demand-driven, customer-focused, and seamlessly integrated value chains, each company should craft its own strategy. Finding ways to participate and compete could be considered within a four-stage decision framework with digital technologies reinforcing each stage (figure 3).
Applying Deloitte’s “4D framework” to low-carbon business models involves addressing the commercial challenges inherent in new business ventures. Businesses should work to align business goals with corporate strategies, break operational silos by developing an “enterprise-first” mindset, and foster strategic consensus among the leadership. Areas for management to consider include:
Only about 16% of oil, gas, and chemical companies highlight integration as a priority in their latest annual management discussion.7 By redirecting some focus toward synergistic integration of existing and new businesses, companies could enhance their strategies to amplify their returns and achieve their aspirations. This may be a better path toward accelerating low-carbon technologies since some sections of the investor community have been driving the separation of low-carbon opportunities through divestiture, resulting in niche and specialized companies. Considering the challenges in scaling such low-carbon businesses, this stand-alone approach may require reevaluation to effectively advance low-carbon initiatives.
Shifting from a traditional, top-down business model centered on a few key products to a complex and integrated portfolio may not be straightforward. Each business faces decisions specific to them on where and how to expand its value chains and where to integrate. But evaluating various low-carbon opportunities through the considerations of market potential and business synergies can help companies in narrowing their options.
Once goals have been aligned with corporate strategy, evaluating the market potential of new low-carbon opportunities broadly includes examining demand growth, returns, and innovation potential (figure 4; refer to the endnotes section for detailed information on the sources used in the figure).8
Part of that innovation potential can be opportunities to address unmet customer needs, the ability to build or sustain competitive advantage or to further differentiate in the market.
The market potential for various low-carbon opportunities is expected to differ significantly across applications, regions, and countries. This variation is likely influenced by several factors, including demand, pricing, tax credit design or other policy incentives, infrastructure, supplier ecosystem, the complexity of the value chain, and the presence of established market players. Consequently, it is important to evaluate each opportunity based on the trade-off between risk and return. Leveraging business synergies with existing operations and infrastructure can help navigate these challenges and act as a potential impact multiplier in delivering gains that exceed the average market potential.
Evaluating the business synergies between the selected low-carbon opportunity and the existing value chain can be done by focusing on compatibility at the facility, resource, market, and end-use application levels (figure 5).
After selecting an appropriate opportunity, companies can then focus on developing go-to-market strategies that maximize rewards and manage risks.
Companies can use digital technologies to leverage the data, processes, and knowledge from one business to innovate new products or processes in another. In the research and design phase, this could help companies reduce the time from lab to market, and in the production phase, this could help companies gain efficiencies through smarter manufacturing.
For instance, researchers from North Carolina State University, in partnership with several other organizations, are developing an artificial intelligence–powered waste management system that supports a circular economy. The process utilizes smart sensors, visual and hyperspectral cameras, and automated sorting technology to identify and characterize organic materials in non-recyclable waste, converting them into renewable products and fuels. The project is designed to maximize the production of biofuels (from organic waste) and recycled content, thereby reducing the volume of waste that ends up in landfills.17
Companies can also use digital technologies to integrate people, processes, and assets across an organization’s functions and geographies to facilitate quicker, more informed decision-making. This can increase efficiencies and reduce costs by combining real-time data with collaborative technologies.
For instance, at the Yuri Green Hydrogen Project in Western Australia, digital systems are helping integrate solar energy, battery storage, and hydrogen production (electrolysis) to ensure alignment with the adjacent ammonia plant’s energy requirements and optimize overall performance.18 More specifically, an energy management system and an integrated control system are autonomously managing renewable energy production since the hydrogen project will need to provide consistent stability and power quality based on the operating requirements of the ammonia plant, the weather, and other factors.
Furthermore, digital technologies can help companies make more informed decisions about how to deploy capital to evolve their portfolios. For instance, data analytics and AI could be leveraged to identify future opportunities for value chain optimization via improved logistics or infrastructure utilization.
Oil, gas, and chemical companies have extensive experience developing, monitoring, and reassessing their strategic plans. However, as the industry moves toward more demand-driven products and integrates with new value chains, developing a strategy that builds on differentiation and leverages its competitive advantage will likely become increasingly important.
The value proposition for those entering low-carbon markets may offer access to expanded customer bases or certifiable low-carbon products and services that help a company reduce its carbon footprint. Elements that can help a company deliver on its value proposition include:
When commercializing new and evolving energy opportunities, there is often more uncertainty around the build-out of value chains, markets, and technological maturity. These risks can directly increase a company’s cost of capital, making financing challenging; so identifying, assessing, and developing strategies through a robust risk and opportunity assessment process is critical.
While companies face a number of risks, the focus here is on those risks and risk mitigation strategies that apply specifically to companies entering new value chains and/or adopting new technologies (figure 6). When evaluating these strategies, it can be helpful to consider the interdependencies and trade-offs between different risks and different mitigation instruments; how to optimize risks and rewards between contracted parties; and which strategies best suit their company and position.
Many companies have focused their digitalization efforts on operations-level activities. As these companies move into new opportunities, increased integration across value chains and networks are expected to grow to increase flexibility, decrease costs, and improve transparency across products and value chains. These same applications can also be used in the front office to increase transparency and engagement with customers.
To improve visibility, communication, and collaboration across their value chains, companies can integrate their internal systems and data with external data sources, including social media analytics, customer transaction data, and feedback from customers and suppliers. Leveraging such data in near real time can help companies increase flexibility, optimize production, track full-cycle emissions, and forecast market trends and supply chain disruptions. For customers, this can translate into a “connected customer” experience with improved communication, but it can also provide improved tracking, reduced delivery times, as well as increased personalization and choice.
But companies can also take that one step further and use digital platforms to enable multiple companies within a market to share data to increase visibility, promote partnerships, find new suppliers, and identify offtakers. Companies can also use platforms to track and trace products and their associated emissions to assess the product’s carbon footprint.
For instance, hydrogen trading is geographically and temporally diverse, with many production sources, transportation sources, and players involved across the value chain. Kawasaki Heavy Industries Ltd. for example, is developing the Suiso Platform, a digital management system that is designed to enable centralized hydrogen distribution management and support hydrogen trading domestically and internationally. The platform will offer hydrogen traceability, including tracing attributes such as carbon intensity, support for a low-carbon hydrogen certification application, and support for hydrogen trading activities19
Establishing robust management systems is essential for driving consistent performance and ensuring value from integration. This involves designing operational models and organizational structures to support more dynamic and agile decision-making.
As companies move from supply-driven to demand-driven operating models, they will likely begin to rethink the structure, process, workflow, systems, and talent strategies of their organization. This will be important as goals expand from reducing costs and improving efficiency to also differentiating products and services.
The organizational structure will likely evolve alongside the operational model. Considering the industry’s capital-intensive and safety-focused nature, about 90% of the top 100 oil, gas, and chemical companies globally follow a centralized divisional structure to ensure consistent risk management and effective project management.20 This extends to even their low-carbon initiatives. By contrast, about 70% of leading innovative and low-carbon businesses adhere to decentralized functional or matrix structures to better integrate new ventures and adapt quickly to market and technological changes.21
Is there room for change? By integrating elements of both centralized and decentralized structures, oil, gas, and chemical companies can offer some flexibility to foster innovation and improve agility in decision-making while also balancing compliance and risk obligations. This could involve forming autonomous, multidisciplinary teams for new energy projects, complemented by centralized governance.
The industry has invested in establishing a robust digital foundation to enhance operational efficiency and data-informed decision-making. Over the past five years, spending on software-as-a-service by the O&G industry has surged by 63%, surpassing the 14% increase in O&G capital expenditures during the same period, reflecting the value in outsourcing nonstrategic capabilities through best-in-class or custom solutions.22 Now the industry faces an opportunity to add new capabilities and complement existing systems—from enterprise resource planning to artificial intelligence, which have played a key role in building an integrated system within enterprises (figure 7). Put simply, companies with an established digital foundation and integrated systems will likely be able to leverage generative AI more swiftly and effectively.
How should organizations get started? There is a need to tailor the foundational models (like large language models) by integrating industry, functional domain, and corporate-specific institutional knowledge into the corpus of knowledge available to the models. The key to unlocking value from generative AI is more than simply deploying technology—true value realization comes from providing the technology access to the robust and relevant data set through a process that delivers trusted and relevant results to the business. This is expected to require robust and enterprise-level data engineering practices that ensure data accessibility across departments while maintaining established risk and ethical guardrails that ensure unbiased, reliable, and legal operations, which all contribute to fostering trust.
Inefficiencies within and between processes, assets, and systems can lead to value leakage in organizations. Mitigating this requires integrating siloed businesses and systems to create value chain excellence at an enterprise level. Although digital applications that support compliance, audit, document, and incident management systems continue to improve, it remains crucial to seamlessly and efficiently integrate both old and new systems to streamline data-sharing across the organization.
Beyond management systems, some companies are increasingly using digital technologies to ensure safety and sustainability across their facilities and compliance with evolving regulations. For instance, digital twins, AI, and blockchain can help provide visibility into process safety indicators, leading to quicker identification and management of risks before they become incidents. They can also help track emissions through the supply chain to comply with environmental regulations, monitor leaks from carbon storage or hydrogen pipelines, and train employees in safety protocols.
As companies utilize mergers and acquisitions (M&A) to enter new markets or adopt new technologies, companies are increasingly relying on digital technologies to help streamline post-merger integration. Digital technologies offer increased efficiencies across every step of the M&A process from conducting due diligence to improving collaboration and communication across teams and data migration.23
The oil, gas, and chemical industry has a long history of integrating businesses. From the landmark 1999 merger of Exxon Corp and Mobil Corp to the 2007 acquisition of General Electric Company’s plastics business division by Saudi Basic Industries Corp, the industry has witnessed a broad spectrum of transformative integrations.24 While there have been numerous smaller acquisitions in the green energy space, integrating traditional hydrocarbon operations with emerging low-carbon businesses is a relatively newer frontier for the industry. As the industry transitions from the “discovery” phase to the “define” phase, it should continue optimizing existing business practices while integrating new ventures. The focus now should shift toward the latter stages of decision-making: “develop” and “deliver.” Factors to consider that support this decision-making include:
Implementing an integrated set of key performance indicators (KPIs) spanning financial, operational, sustainability, and human resources to work to align all departments, articulate the cumulative impact of changes across a company, and avoid over-indexing on a single KPI.