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Supply Chain Innovation, Transformation, and Sustainability

How can leaders and finance teams enable business growth, innovation, and resilience through supply chain management (SCM) and digital transformation? And, how does sustainability affect supply chains? To answer these questions, we spoke with Jon Chorley, Chief Sustainability Officer and Group Vice President of Oracle, and Tony Nash, CEO & Founder of Complete Intelligence.

 

This video interview first appeared and originally published at https://www.cxotalk.com/video/supply-chain-innovation-transformation-sustainability on April 17, 2021.

 

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The conversation includes these topics:

 

Jon Chorley is group vice president of product strategy for Oracle’s supply chain management (SCM) applications and leads the team responsible for driving the business requirements and product roadmaps for these applications. Chorley is also the chief sustainability officer for Oracle.

 

Tony Nash is the CEO and Founder of Complete Intelligence. Previously, Tony built and led the global research business for The Economist and the Asia consulting business for IHS (now IHS Markit).

 

 

Show Notes

 

Michael Krigsman: We’re discussing supply chain innovation and transformation and sustainability with Jon Chorley of Oracle and Tony Nash of Complete Intelligence. Jon, tell us about your role at Oracle.

 

Jon Chorley: I run the supply chain management strategy group at Oracle, responsible for our overall investment priorities and directions for our supply chain solutions. I also have the chief sustainability officer role at Oracle where I help coordinate all of our sustainability policies and practices for the Oracle Corporation and help drive some of those ideas and thoughts into the products and services we deliver to the market.

 

Michael Krigsman: Tony Nash, tell us about the focus of your work.

 

Tony Nash: Complete Intelligence, we’re a globally integrated and fully automated artificial intelligence platform for cost and revenue proactive planning. We do forecasting for enterprises and markets in areas like continuous cost budgeting, continuous revenue budgeting, automation of certain, say, forecasting tasks. We also offer agile budgeting and forecasting.

 

We measure our error rates, so that’s important that someone is planning, especially around supply chain. We’re trying to help people reduce the risks around their future costs.

 

Supply chains are very complex: time, cost, quality, all sorts of considerations. Our focus is on the cost element of it, and there are many other things and why we’re working with Oracle. They have so many other things to bring to the table that try to complement them on that side.

 

Michael Krigsman: You met Jon through the Oracle startup program. Just briefly tell us about that.

 

Tony Nash: Oracle for Startups program is a fantastic way for early-stage companies to integrate with the Oracle ecosystem. There is the Oracle technology product side of it, but there is also meeting people like Jon, meeting people like his colleagues, and the Oracle marketing team, Salesforce, and product teams. Amazing opportunities to understand how an organization like Oracle works and how a company like Complete Intelligence can come alongside them and enhance Oracle’s end customer experience for the better.

 

 

How did supply chains function during the disruptions of 2020?

 

Michael Krigsman: Jon, during the last year, supply chain became a household topic for pretty much everyone.

 

Jon Chorley: Yes.

 

Michael Krigsman: What did the last year tell us about the nature and the reality of supply chains?

 

Jon Chorley: Well, that they’re central to everything that makes the modern world. When you see an empty shelf and realize it’s an issue with the supply chain. Or you see a run on a product as some shortage or some challenge in some way. People now understand that the complicated infrastructure that brings those products to them is the supply chain.

 

As we’ve gotten into the more recent months where we’re looking at the vaccine distribution, people understand that yes, it’s a technical problem to produce the vaccine, but it’s also a supply chain problem to get it in people’s arms.

 

All of those things, I think, have helped take the supply chain from the back office, from the folks like Tony and I who work in it day-to-day, into the board room, which I think is very important. But also into the dining room. People now understand the importance and centrality to efficient supply chains.

 

Michael Krigsman: Jon, give us some insight into the kinds of weaknesses that this last year exposed in how we handle supply chains.

 

Jon Chorley: I think that there are a couple of areas there that I’d point out. One is we had a very uncharacteristic demand shock. There was a real change in short-term demand.

 

Some of that was upside. A lot of charcoal sold to power the grill. A lot of toilet paper.

 

Some of it was downside. Restaurants challenged, hospitality, and so on.

 

Those demand shocks forced people to look at different ways to look at their traditional forecasts. That is supportable by the kind of technology Tony and I can help deliver, but it does require people to look carefully at how they’re forecasting their demands. That’s one angle.

 

Another angle, I would say, is the overall concern about resiliency. A lot of folks looked at ways of single sourcing, for example. Maybe relying on goods out of Western China, for example.

 

All of those things had a lot of challenges, and that forced people to look at, was the single-sourcing strategy driven by cost only the right answer? Did they need to look at A) maybe simplifying their product lines a little bit, so they had more flexibility, and B) looking at alternate sources of supply? I think resiliency came a lot more to the fore.

 

Tony Nash: We’ve had even companies like semiconductor companies (who have been based in Asia) start to build facilities in the U.S. so that they can regionalize some of those supply chains and de-risk the downturn impacts of future shocks like this. Electronics manufacturers, other people who are assembling goods, or even some primary goods, are regionalizing their supply chains so that they don’t see huge impacts or any future issues like COVID or other shocks.

 

There’s at least a little bit of a buffer by region, which saves. It’s greener in terms of saving on the sea freight fuel and that sort of thing, but it also helps cushion any shocks on the supply side so consumers can get what they need when they need it.

 

 

Challenges associated with overseas manufacturing operations

 

Michael Krigsman: Jon, I’ve heard you talk in the past about the inherent challenge of manufacturing goods overseas (in China, for example) and the timeliness of getting them here in the U.S.

 

Jon Chorley: It has a lot of advantages in terms of costs, scale, and so on. But it does bake into your supply chain a certain fixed amount of time. That is fine if you have predictable demand. But if you have variable demand, it becomes a lot trickier to manage.

 

The same is true really of the innovation cycles. The speed with which you may want to innovate can be constrained by working those things from points of consumption (let’s say Europe, North America) and points of production (let’s say the East, China, Vietnam, and so on). Those are factors folks are considering.

 

I think, in some areas, certainly advances in things like automation and technologies like 3D printing, rapid prototyping, those things are changing the equation a little bit in terms of what constitutes the most cost-effective or the most efficient, or the most responsive approach to manufacturing. I think you’re going to see those factors gradually have more and more of a play as people develop new ways to balance those equations.

 

Tony Nash: Michael, that’s interesting because, as we look at how the history of supply chains have evolved from keeping POs on 3×5 notecards 30 years ago to the digitization of that, it started with EDI (electronic data interchange) from, say, the ocean lines and the airfreight firms so that you knew where your package was, all the way down to today where you have everything kept, let’s say, in a bill of material within an ERP system or a supply chain system.

 

What people have been doing for the past few years is really bill of material versioning, where you’re running scenarios on the same product configuration, of bill of materials for multiple locations, to understand where they should make a certain good. Those considerations are allowing people flexibility. They can make the time and cost tradeoffs to look at when they can have goods in a market, whether it’s seasonality or whether it’s some disruption or whether it’s some demand pop for some reason people may not know. Allowing people to run multiple bills of material or versions of bills of material allows them the flexibility to identify what they should produce where and what it should be made of.

 

Michael Krigsman: It sounds like this is a data and analytics problem.

 

Tony Nash: It is, and the way things have been done typically is, as a manufacturer, you sign a longer-term agreement for your raw materials with a vendor. They provide that for you to a certain point. You make it in factory A somewhere and then ship it out. Of course, there is not necessarily a single factory for any large company, but it’s a well-worn path.

 

We’ve had an atomization of that with mini manufacturing, or regional manufacturing, flexible manufacturing, so people can have localized versions or, like I said, seasonality. These sorts of things. Manufacturing and finance teams can only make those types of decisions with data and with automation. It’s a simpler way on how to make better business decisions.

 

 

Digital tansformation and sustainability in supply chain

 

Michael Krigsman: You need clarity around the goals and the strategy. You need the right kinds of data. Then you need the cultural willingness to innovate and do things differently. Is that an accurate way of summarizing?

 

Jon Chorley: I agree. I think you need to have some idea of where you’re going. Although, that probably is going to change. But you need to have that idea. You need to have the information, as Tony has discussed, that helps you navigate that path.

 

Then you need to be able to course-correct because we live in the real world, and nothing quite goes the way you expect it to. You need to be able to constantly course-correct.

 

Like I say, if you have a great set of headlights, you can see what’s coming. You’re coming to a cliff. If you have no brakes and no steering wheel, it’s a huge problem you’d rather not know.

 

The ability to course correct is like having brakes and a steering wheel. You need to be able to make those adjustments as things change around you. That means flexible systems, flexible processes, a willingness to look at new ways of doing things, cultural changes. All of those things become important.

 

Michael Krigsman: Tony, I have to imagine you spend a lot of time thinking about the sources of data as well as the machine learning models and other types of models that you create.

 

Tony Nash: I get excited about things like data governance, but most people don’t. I get excited about it because I understand that it helps to have much better forecasting applications and tools to make those decisions.

 

Yes, we’re thinking about the granularity, the frequency, the level of detail people have. Are they using the data that they have to make decisions today because it’s not just, let’s say, a cultural change of let’s rely on automation of things like forward-looking views or forecasting or proactive planning? It could also be a cultural change: are we looking at our data to make our decisions? How much of our data are we looking at? Are we looking at maybe the error rates of the way we plan? Are we looking back on that from time to time?

 

Although that may seem mundane and small, it’s actually very big for things like digital transformation because you have to take inventory of what you’re doing today so you can plan where you’re going tomorrow. As Jon said, it’s never going to go exactly to plan – never. I wish it would, but it never does. You have to understand yourself well today so that you can identify what’s possible.

 

Michael Krigsman: Jon, we’ve been talking about the complexities of supply chain. Let’s shift gears slightly and talk about the complexities of sustainability. How does sustainability intersect supply chain?

 

Jon Chorley: Most people would agree that supply chains are about making and moving physical goods around the world. That is a huge part of what’s impacting the environment. It’s a huge impact on sustainability.

 

The way we design those supply chains, historically, has been what I would call a linear supply chain. Which is we make a product, we sell a product, we forget the product. We then make another product, sell that product, and forget that product. It’s a fire and forget mentality, if you like – to some degree.

 

If we want to be sustainable, we need to think about the full lifecycle of those products and how they get recycled back into the forward supply chain. As we progress into the future and start thinking about these things more — and we’re required to by the markets, by regulations (potentially), and by what constitutes good business — we will increasingly move towards adjusting our supply chains to be more circular. That is, looking at the full lifecycle of the product.

 

That begins with how you design it. That’s going to be a fundamental change in the way we think about all supply chains.

 

Advice on supply chain transformation for business leaders

 

Michael Krigsman: As we finish up, Tony, can you offer advice to business leaders and finance teams who are listening to this who say, “Yes, we want to change, transform our supply chain, but where do we even begin? It’s such a daunting challenge.”

 

Tony Nash: I would say, really start with the easy stuff. Get some successes. Do a pilot. Then you can accelerate it very quickly.

 

Data scales very quickly. Technology scales very quickly. But your team may be uncomfortable with digital transformation, especially around supply chains. Help them see some quick wins and then push forward as quickly as possible after that.

 

Michael Krigsman: Jon, you discussed earlier the cultural dimensions of supply chain transformation. It’s really important, so just share some further thoughts on that and advice that you have for folks who are listening.

 

Jon Chorley: I think any change is at least as much cultural as it is technological, and the people who implement those changes are key to its success. I think part of what’s needed is a willingness to understand that the way you did things in the past may not be the way you need to do things in the future.

 

Quite often companies, for example, feel that they have a certain special way of doing a process that’s absolutely required, and they hold onto that even though there is really no business differentiation for them to do it that way. They’ll invest a lot of time and energy to duplicate that on a new platform.

 

We always encourage people to step back a little bit and leave behind some of those preconceptions. Not everything is your secret sauce. Your secret sauce is a little bit on the top. It’s not stuff on the bottom.

 

Leave behind those preconceptions. I think that’s probably the single biggest cultural shift.

 

Then the other point we mentioned earlier is board support. I think that’s top-down. Having that support from the upper levels of the business is critical to any large-scale transformation.

 

I think the great thing, if there is a great thing from 2020, is that boards are aware now of the criticality of supply chains in their business and are probably more open to those kinds of conversations. Those difficult conversations from supply chain professionals with their board. Now is the time. The folks that make the investments now are the folks who are going to benefit from the uptick that we all hope is coming.

 

Michael Krigsman: Jon Chorley and Tony Nash, thank you both for sharing your expertise with us today.

 

Jon Chorley: All right.

 

Tony Nash: Thanks, Michael.

 

Jon Chorley: Thank you so much. Great talking with you all.

 

Tony Nash: Thank you.

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Transforming Capital Projects Using Digital

Complete Intelligence is mentioned in this article by digital innovation expert Geoffrey Cann. You can find the first and original version of this at https://geoffreycann.com/transforming-capital-projects-using-digital/. We thank Geoffrey for including us in this valuable piece that helps oil and gas companies in modernizing their operations and technologies. 

 

The oil and gas industry spends hundreds of billions each year on new capital projects. An effort by a group of international producers should eventually improve the efficiency of that spend.

 

DIGITAL CAPITAL

 

I was contacted recently by a trade association representing about 40% of the global production of oil and gas to discuss the role of digital innovation in upstream capital. Their brief states that while most oil and gas companies have programs in place to progress their internal digitalization agenda, some initiatives need to be tackled at the industry level to unlock value at scale. An example of an efficiency opportunity with industry-level appeal is the digitalization of the supply chain.

While their aim is to focus initially on capital projects, it’s probably safe to assume that the initiative will move to other areas of interest in time.

This post summarizes the survey that I submitted in response to the survey.

 

Question 1 — Scope of Digitalization

 

What are the key areas that you think of as being part of a Digitalization agenda?

 

RESPONSE TO SCOPE OF DIGITALIZATION

 

Rather than listing off a random set of possible digital technologies to frame the scope of digital, I set out the key elements of my digital framework which also incorporates infrastructure and work processes areas as integral to a digital game plan.

 

Question 2 — Business Impacts

 

How do you see Digitalization impacting Major Projects in the Oil and Gas Industry? What are your thoughts on the impact on key Capital Project areas?

 

RESPONSE TO BUSINESS IMPACTS

 

Oil and gas capital projects have slipped backwards in terms of productivity gains while most other industry sectors have advanced. At the LNG18 event in Perth in 2016, Shell presented their analysis which shows oil and gas capital has declined in productivity by 25% over the preceding decade whereas most other sectors had gained. The upside for capital is to capture this loss of productivity, and to catch up with other sectors (leading to an outsized gain potential).

 

Oil and gas spends hundreds of billions per year in capital. The IEA estimates that oil and gas stands to gain a minimum of 20% productivity improvement and 20% cost reduction through digital. The opportunity is in the range of $100B in cost savings, and $100B in capital avoidance. Substantial carbon emissions stand to be avoided. Every aspect of the capital cycle is able to leverage digital tools to capture these savings.

 

I contributed to a confidential government study in Australia that set out to understand how the competitiveness of their LNG sector could be improved. The modelling showed that a 25% reduction in schedule (from 4 years to 3, for example), would reduce the break even cost of a typical project by $1 per million British thermal units (MMBTU) for 20 years. To give a sense as to what this means, a 9 million ton LNG plant ships 441 trillion BTU per year. Do the math.

 

CAPITAL STRATEGY

New securitisation technologies (distributed ledger) could be used to transform capital access, and create a new capital asset class. New government crypto currencies (China, EU) may allow for capital market access that avoids US banking system and related sanctions abilities.

 

RISK ANALYSIS

Advanced ML tools can provide much better predictability to underlying volatile commodity assets (currencies, carbon, hydrocarbons, cement, steel, etc). See company Complete Intelligence. Better predictability to commodity risk can lower project capital costs and improve purchasing strategy.

 

SCHEDULING AND PROJECT CONTROLS

The industry routinely produces digital twins of operating assets, but how about creating a digital twin model of the schedule? Another possibility is the use of game tools to create the “game” equivalent of a capital project (see Real Serious Games), used for schedule tuning and post build auditing. Cloud computing can help create deeper virtual environments that span entire supply chains, not just one link at a time, so that schedule and carbon impacts can be visible.

 

ENGINEERING

It’s practically here, but the use of robotic tools to automate routine engineering work is still nascent. Data visualization tools can assist with engineering reviews (see Vizworx) across disciplines and suppliers, provided data is normalized. Open data standards can enable industry cooperation (see OSDU). Deeper virtualisation of teams working across time and location boundaries is enabled by cloud computing, digital twin tools, collaboration systems (zoom, slack). Finally, blockchain tools can be used to capture document versions, protect IP.

 

CONTRACTING

Some companies already use AI to read/interpret contracts, flag areas for review. Bot technology can then conduct alerts, notifications, payments using blockchain interface (smart contracts).

 

PROCUREMENT

The industry can leverage entirely new supply models for common procurement (see The IronHub). Blockchain technology can be used to track carbon content and asset provenance throughout the supply chain during sourcing, fabrication, and mobilization.

 

ON-SITE EXECUTION

There are already examples of robots being used on project sites to facilitate work execution—drones for visual inspections in both aerial and subsea applications. Advanced measurement tools are starting to close the gap between engineering and fabrication (see Glove Systems), which is handy when fabrication is modularised and distributed to multiple global shops. Leading companies create the digital twin of civil site works (see Veerum), allowing for continuous monitoring of site performance, and analytic tools to improve execution, reduce carbon. Safety analytics can identify and predict emerging safety hazards.

 

DIGITAL COLLABORATION

Large projects will leverage cloud computing to enable single source of truth about capital projects.

 

WORKFORCE MANAGEMENT

With most workers now carrying one or two supercomputers on their person, industry can now bring valuable data directly to the worker. Two-way collaboration using cameras and audio can connect workers to supervisors, sites to suppliers, builders to engineers. Game tools can be deployed to show individual performance (safety, time on tools) compared to team, shops, fabricators, best teams, best practice (See EZOPS).

 

MATERIAL MANAGEMENT

Blockchain technology is already in use in supply chains to provide for track and trace of materials in support of warranties, product specifications, certifications (see Finboot) to tighten compliance.

 

Question 3 — Longer Term Impact

 

How do you see Digitalization impacting the overall Oil and Gas Industry over the next 10 years?

 

RESPONSE TO LONGER TERM IMPACT

 

In my book, I set out the substantial headwinds to the oil and gas industry (decarbonization efforts, capital constraints, talent shortfalls, environmental activism, competitive alternatives for transportation). Digital innovations are the only known solution that addresses these cost, productivity and carbon concerns simultaneously.

 

Technology companies supplying the industry are already rapidly adopting digital tools to stay competitive. Brownfield assets are going to slowly adopt digital tools because of operating constraints (short outage windows to make change, management of change process). Capital projects have the opportunity to drive change precisely because they are greenfield, and specifically the short duration capital cycles in unconventional areas.

 

Over the next ten years I expect to see some oil and gas companies distinguishing themselves with new business models that are digitally led. With its substantial spend, oil and gas companies could become one of the leading advanced digital technology industries globally.

 

Question 4 — Key Drivers for Digital

 

What do you see as the key drivers and value areas behind a Digitalization program?

 

RESPONSE TO KEY DRIVERS FOR DIGITAL

 

There are many drivers for digital innovation, but here are four that are at an industry level.

 

TALENT.

The industry is at risk of becoming unattractive to talent (the Greta Thunberg effect). People in oil and gas are falling behind in companies that are falling behind in an industry that is falling behind. Digital tools can make junior resources as productive has highly experienced, as well as make the industry more “high tech” and attractive as an employer.

 

CAPITAL MARKET ACCESS.

Capital markets are shut off to much oil and gas investment. The top 7 largest companies by market cap are all digital (Amazon, Facebook, Alphabet, Apple, Microsoft, Tencent, AliBaba). Oil and gas has shrunk from 15% of NYSE to less than 5%. Apple alone is now larger than the combined oil and gas majors. Capital markets need to hear a thoughtful strategy about how the industry is embracing digital innovations.

 

CARBON MITIGATION.

The EU Green deal is driving carbon neutrality targets for oil and gas (see BP, Shell, Repsol). Oil companies and their supply chains will be unable to access markets without thoughtful carbon gameplan (track, measure, monitor).

 

COST AND PRODUCTIVITY.

Oil and gas spends hundreds of billions per year in capital. The IEA estimates that oil and gas stands to gain a minimum of 20% productivity improvement and 20% cost reduction through digital. The opportunity is in the range of $100B in cost savings, and $100B in capital avoidance. Substantial carbon emissions stand to be avoided. Every aspect of the capital cycle is able to leverage digital tools to capture these savings.

 

Question 5 — Biggest Challenge

 

What is the biggest challenge at implementing a Digitalization strategy?

 

RESPONSE TO BIGGEST CHALLENGE

 

As I see it, digital is not a ‘technology’ opportunity. It is a culture change opportunity. Oil and gas tends to view digital as something to purchase (buy and do digital), rather than as a lever to drive behaviour change (to be digital). Oil and gas companies underinvest in the necessary change management actions to create the conditions for digital success.

There is an inadequate amount of training on the digital basics for the front line workers who need to embrace this unknown technology. A reliance on engineering water fall methods of work instead of agile methods undermines the speed by which digital change can take place. By underinvesting in the user experience side of change, and placing the asset at the center of digital efforts, the industry increases the resistance to technology.

 

Question 6 — Foundational Capabilities

 

What foundational capabilities do you feel need to be in place for O&G companies to fully exploit Digitalization?

 

RESPONSE TO FOUNDATIONAL CAPABILITIES

 

I cover much of this in my book. For example, IT and OT need to be merged into a single organization. Systems need to be cloud enabled as much as possible. Enterprise solutions (SAP, Maximo) need to be upgraded to their digital versions (so that they do not block other digital efforts). An experimentation capacity to run digital trials must be in place. Funding for digital investments must be in place. Clear expectations for achieving desired outcomes (cost, productivity), must be expressed. Methods for doing work must follow agile principles. Better connections to the digital start up ecosystem should be in place.

 

Question 7 —Investment Candidates

 

Have you seen any Digitalization initiatives that should be carried out collectively or would be more effective if adopted in a common way across the industry (including the supply chain)?

 

RESPONSE TO INVESTMENT CANDIDATES

 

OSDU is a powerful illustration for enabling sub surface data management and exchange to accelerate the adoption of digital in the upstream. Something like this for capital projects would be valuable. The OOC is demonstrating the power of community of collaboration to drive blockchain-enabled initiatives forward.

 

CLOSING THOUGHTS

 

Building assets that last 20 years or more is just the first step in their lifecycle. Digital efforts in Capital Projects should enable must faster and more graceful commissioning and handover. For example, CSA Z662 and PHMSA 192 set out the new materials tracing for linear infrastructure (tubular, pumps, fittings, flanges) which can only be achieved by deploying digital in the capital project. Poor quality data about installed infrastructure destroys up to 40% of value in a transaction (and that data is largely generated and collected during capital spend).

 

The sooner the industry tackle capital project efficiency the better.

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QuickHit Visual (Videos)

QuickHit: 2 Things Oil & Gas Companies Need to Do Right Now to Win Post Pandemic

This week’s QuickHit, Tony Nash speaks with Geoffrey Cann, a digital transformation expert for oil & gas companies, about what he considers as “the worst downturn” for the industry. What should these companies do in a time like this to emerge as a winner?

 

Watch the previous QuickHit episode on how healthy are banks in this COVID-19 era with Dave Mayo, CEO and Founder of FedFis.

 

The views and opinions expressed in this QuickHit episode are those of the guests and do not necessarily reflect the official policy or position of Complete Intelligence. Any content provided by our guests are of their opinion and are not intended to malign any political party, religion, ethnic group, club, organization, company, individual or anyone or anything.

Show Notes

TN: Hi, everybody. This is Tony Nash with Complete Intelligence. This is one of our QuickHits, which is a quick 5-minute discussion about a very timely topic.

 

Today we’re sitting with Geoffrey Cann. Geoffrey Cann is a Canadian author and oil industry expert and talks about technology and the oil and gas sector.

 

So Geoffrey, thanks so much for being with us today. Do you mind just taking 30 seconds and letting us know a little bit more about you?

 

GC: Oh, sure. Thank you so much, Tony, and thank you for inviting me to join your QuickHit program.

 

So my background, I was a partner with Deloitte in the management consulting area for the better part of 20 years, 30 years altogether. I had an early career with Imperial Oil and I’ve spent most of my career helping oil and gas companies when they face critical challenges.

 

These days, the challenge I was focusing on prior to the pandemic was the adoption of digital innovation into oil and gas because the industry does lag in this adoption curve and yet the technology offers tremendous potential to the sector. I see my mission, and it still doesn’t change just because of the pandemic, as the adoption of digital innovations to assist the industry and to resolve some of its most intractable problems. That’s what I do.

 

 

TN: Wow. Sounds impressive. I’m looking at the downturn in oil and gas and the downturn in prices. There have been big layoffs and cost savings efforts and these sorts of things with oil and gas firms. And, typically, a pullback is an opportunity for the industry to re-evaluate itself and try to figure out the way ahead. Are we there with oil and gas? Do we expect major changes, and as we emerge from the current pullback, how do we expect oil and gas to emerge? We expect more technology to be there. Do we expect more efficiency in productivity? Are there other changes that we expect as we come out of this?

 

 

GC: I’m pessimistic about the prospects for oil and gas and it’s driven by this collapse and available capital and cash flow to the industry.

 

When the industry hits this kind of survival mode, there’s a standard playbook that you dust off. And that playbook includes trimming your capital, canceling projects, downsizing staff, closing facilities, squeezing the supply chain, trimming the dividend. Anything that is considered an investment in the future is put on hold until the industry can get back on its feet.

 

And this is the worst downturn. I’ve lived through six of these. This is the worst I’ve seen.

 

Certainly sharpest, fastest, and deepest and coupled it with the over excess production in the industry. When the industry comes out of the other end of the pandemic, what we’re going to see the industry do is devote its capital to putting its feet back on the ground and getting back into its normal rhythm. But what that means is all the changes that our potential out there are likely to have been set aside in the interim.

 

 

TN: If you were to have your way, and if you were running all the oil companies, and they were to make some changes in this time, what would those changes be? What would some of those key changes be?

 

 

GC: There is a gap between what other industries have discovered, learned, and are adopting, and where oil and gas is at. That gap is, first, needs to be addressed by raising the understanding and the capability and the capacity in oil and gas to deal with the possibilities presented by these technologies. And so there’s task number one that oil and gas companies can absolutely do even during a downturn. Just train people and get them across the newer concepts or newer ideas.

 

A second possibility is to embrace the foundational elements that have proven to be the key success factor for so many other industries. One of those would be cloud computing. The adoption of cloud-based infrastructure, moving data into the cloud, is not costly, it generates an immediate payback because cloud infrastructure is so cheap, and it puts the company into a solid position for when the normal day-to-day running of it gets back in gear, the investments it may have been making an in digital innovation can all now be brought back into stride because this foundational technology will be in place.

 

So those are the two things that I would do: Get people ready for the journey ahead and put one of these foundational steps in place to get ready.

 

 

TN: Those are really enabling technologies, right? They’re not substitutional. They still need people, they still need engineering skills. It’s really just enabling them to do more, right?

 

 

GC: Correct, yeah. And covering off that gap incapacity is the key thing. Somewhere down the road, there will be the adoption of artificial intelligence and machine learning tools to improve the performance of the business. Those are coming and they’re coming very quickly. We’re not there yet. The job is where the industry needs to move forward, and as I see those are the two steps.

 

 

TN: Do you see this as kind of a generational thing? Is this five-ten years away? Or is it an iterative thing where you see it changing bit by bit for each year? How do you see this on the technology side for them?

 

 

GC: Well, in my book, I actually sketched out a way to think about this problem. And I call it the fuse in the bang. The fuses, if you think about Bugs Bunny cartoons. Bugs Bunny and it would be a comically large keg of gunpowder. It’ll be jammed into the back of your Yosemite Sam. As they go racing off, they leave a trail of gunpowder and Bugs would just drop a match in it. It always ended in a comically large but not very terminal explosion. So imagine that the length of fuse, that trail of gunpowder is how much time we’ve got and the size of the keg of gunpowder is how big the impact is going to be. In my book, I could actually go through some ways to think about this.

 

But you have to think about it in these terms, oil and gas is principally a brownfield operations business. In other words, most of the assets predate the Internet Age and they’re continuing to run and they run 24/7, they’re extremely hard to change, and so as a result, the idea that we can quickly jam innovation into these plants is just nonsense. It’s not going to work. So it’s going to take quite a long time.

 

The generation is on two fronts. One is the technology is legacy and therefore it has generational barriers to adoption of change. We also have a workforce, which is tightly coupled to that infrastructure and it also has struggles to cope with change. So we have to come across these two generational shifts that have to happen and they basically have to happen at the same time.

 

 

TN: Very interesting. Geoffrey, I wish we could go on for another hour. There’s so many directions we can take from here. So, thanks much for your time. It’s been really great talking to you and I hope we can revisit this maybe in a couple of months to see where the industry is, how far we’ve come along, just with the downturn of first and second quarter, look later in the year just to see where things are and if we’re in a bit of a better place.

 

 

GC: It’d be great fun because this is, you know, as I’d like to tell people, this is not the time to actually leave or ignore the industry. It’s when it goes through these great troughs like this, this is where exciting things happen, so pay attention.