Digital disruption landscape for upstream oil and gas

I was recently asked by a client for assistance in examining how their business strategy might be affected by Digitalisation. This company is a mid-tier upstream operator with a mix of assets mostly non-operated but does have some where it is the duty-holder.

So I’ve propose the following five point map to classify where the disruption could occur in the upstream business. This helps to define not how, or when,  but where disruption is possible. This framework helped us examine what threats and opportunities are likely to emerge in each area and I thought I’d share.

Please feel free to comment and I will keep this updated  for the network.

Demand for Oil and Gas

  1. Digitalisation in the wider economy may affect the demand for energy through different transport usage, renewable control, demand management and micro-grids.

Access to Resources

  1. Access to operate resources may change as national owners find different partners to help them monetize geological wealth
  2. Opportunities to become a non-op partner may change as operators get more certain about their outcomes and require less diversification in their portfolios
  3. Competition for resources increases as development and production services become purchasable/tradeable activities
  4. Transparency of operation and methods to extract changes what is required to retain a license to operate
  5. Better techniques for collecting and interpreting data leads to more resources being found and better development pre-planning (westwood puts the commercial success rate at between 30% and 50% https://www.fircroft.com/blogs/less-drilling-more-success-the-state-of-exploration-drilling-so-far-in-71921114313 )

Development and Operation of Resources

  1. Digital planning and modelling combined with better logistics and manufacturing/construction techniques reduces the capital requirements for fields meaning lower barriers to entry
  2. High frequency low-cost drilling reduces the sunk-cost nature of investment, reduces cyclical volatility of supply/demand imbalances and hence expected return on capital
  3. Better information leads to increased recovery factors and ultimate value of assets. (Currently this is estimated to be below 40% http://www.spe.org/industry/increasing-hydrocarbon-recovery-factors.php )
  4. Better information, co-ordination and reduced waste leads to lower operating costs per hour of activity (for some bench marks check here https://knoema.com/rqaebad/cost-of-producing-a-barrel-of-crude-oil-by-country )
  5. Better prediction of failure and real-time optimization of fields leads to higher efficiency and hence accelerated cash-flow (currently 73% in North Sea https://www.ogauthority.co.uk/news-publications/news/2017/uk-oil-and-gas-production-efficiency-rises-to-73/)

Sale and transport of product

  1. Better information about the crude quality and refinery / other consumer plant configuration leads to higher yield / lower cost processing
  2. Information about the location of supply and demand enables better optimized transportation and reduced costs
  3. Better prediction of both future production and future demand enables balancing of both. This leads to changes in the premium available from trading and who captures it

Human elements

  1. Automation leads to different models for distribution of wealth among the middle classes (no longer based on work)
  2. Automation leads to people choosing to add creativity and seek challenges in different environments and under different conditions
  3. Changes to the working motivation scheme means modernization is required for operating model for Oil and Gas industry to attract talent

 

 

Image credit: https://www.pmfias.com/natural-gas-distribution-world-india-petroleum-gas-value-chain-upstream-midstream-downstream-sector

 

 

O&G – Exploration and industry 4.0

In an earlier post [LINK] I briefly introduced the four areas of upstream value chain that could benefit from the 4th Industrial Revolution. Here I put forward some potentially controversial points about how this may (or may not) affect Exploration.

First of all my definition: Exploration is concerned with finding and appraising new deposits of Hydrocarbons trapped under the surface of the earth. It’s the identification of these that I am addressing here, not how (or if they can be) exploited.

There have been many advances made in technology in the previous 25 years that have transformed the process of finding deposits. The two most notable have been around the use of remote sensing through Seismic Data, and the accuracy with which deviated wells can be drilled. Seismic acts like an x-ray into the composition of the rocks, while new wells use precision direction control and combine it with analysis of real-time feedback from rock measurements surrounding the drill bit to let operators steer the trajectory in real-time.

Many of the advances that have been harnessed could legitimately be described as pioneering in the technology of sensing, big-data, simulation and automation. These are the key technologies underpinning the 4th industrial revolution. Exploration got there first.

In my work with small companies seeking investment I continue to see a slew of new start-ups with fancy seismic algorithms claiming to be able to spot even more obscure sources of previously unidentified hydrocarbons. Maybe they work. Who cares?

In my view the major gains from the 4th Industrial Revolution have already been captured in exploration. Perhaps we are close to entering an era of more stable oil prices – driven by: elasticity of supply from shale; abundant reserves released from both tight reservoirs and hydrates; and managed demand through smart technology, electric drive-trains, renewable generation and batteries. So the commercial pressure to find obscure resource pools may have gone.

In the North sea there are over 300 pools of hydrocarbons already discovered but not yet developed [LINK]. So the question is: even if the new technologies are successful will they have a significant impact for operators? I suspect the answer is no.

New algorithms and systems may provide marginal gains around the edges of existing fields and provide additional in-fill development opportunities. They may reduce the number of people in G&G dept 10%. Commodification of techniques (as happened for 3D animation) may see the demise of some companies and job-roles. But I don’t think it’s going to provide a revolutionary impact. Of course, I may be wrong.

If I am right, this suggests that there will be two main opportunities for companies providing technology here – either to provide an “add-on” to the main interpretation platforms (Petrel, OpenWorks) and then sell small numbers of seats to operators in special circumstances, or attempt a wholescale assault to replace the platforms already in place. Neither of these are revolutionary for operators and result in minor cost reduction by pitting service company against service company.

I think the 4th industrial revolution is likely to provide only a small impact on the dynamics of this part of the value-chain. There may be a displacement of revenue from one software vendor to another, there may be some marginal in-fill development opportunities that will add more elasticity to oil supply (and help to further stabalise prices) but neither of those are going to be massive nor revolutionary. I think that the 4th Industrial Revolution gains have been captured already – AI, auto-pickers, attribute statistics, simulations, integration, cloud, geolocation, computing power in the hands of individuals – the main technologies are already in place. Gains from here-on-in will be marginal.

There is one thing that may change my view, however. If this happens it will have a profound impact and swing power towards the national resource owners. If these innovations are adopted at the level of the nation state things may change.

National Data Banks were established in the 1990’s (example LINK) to hold archives of seismic and well data and make them publicly available. These may get a boost.  Cloud technology and on-line AI-based mining-algorithms may change the way that license economics work by de-risking exploration and encouraging competition. If this is combined with a stable oil price there is a potential recipe for reduction in the incentives needed for exploration companies. That could change the economics and the structure of the discover, farm-down, refinance, develop and keep carried-interest process that is used today.

Automation Risk

We have recently seen some very high-profile failures of IT systems – whether by Cyber Attack (WannaCry and Varients [LINK]) or by poor operation risk control [LINK]. Something is wrong in the way things are managed

Insurance companies are starting wake up to their potentially unexpected liabilities around this risk [LINK]. They will certainly start to price this risk; this will mean that risk-reduction investment will have an immediate identifiable financial benefit. Perhaps it’s time to take a different approach

For years, I have railed against the distinction between “IT and the Business” [LINK]. I think the time has come for this gap to be finally put to rest. They are now truly inseparable.

Statoil has recently announced its response to the 4th Industrial Revolution (or Digitalisation). [LINK]. The most significant part of this is that the initiative is led by the COO. Of course it is!

If we were to take any other industrial process technology in Oil and Gas (say compressors) the management line looking after these runs up through the COO. There is not a Chief Compressor Officer who reports through the CFO and imposes compressor decisions (or delays) onto operations.

In that case, why would computerised operations technology report through the CFO via the CIO as is the case in many organisations. This should be part of the COO role. This recognises that IT is now central to operations. This is how it should be, because it is now at the heart of the current automation of operations [LINK].

In line with this I propose that the COO needs to own a new risk – Automation Risk. One of the advisors to the COO would be an Automation function – responsible for assessing and managing benefits and risks as well as defining policy across the organisation. Operational assets should comply with policy and work with Automation function around standards, risks and controls. Assurance functions can then audit compliance via the Chief Risk Officer – the right checks and balances would have saved a few hundred million dollars across the airlines in the last 12 months, perhaps a billion dollars across the industries hit by the WannaCry virus.

Automation risk planning means that the COO knows what risk sources there are that cause automation systems failure and what is the consequences of that failure would be. Importantly, he also knows what actions could be taken to reduce the likelihood and impact of a failure.

Then he can approve a business decision to choose which reduction measures are implemented. The COO must then know the real-time status of the mitigation measures – are they ready to work in case they are called upon and what is the current risk status of the organisation, is it acceptable and – if not – what is being done about it?

Contact me if you want to know about planning using Bow-Tie models and how you might be able to monitor current compliance in real-time, set-up alerts and manage your automation risk.

[Image credit: https://smlrgroup.com/universal-cyber-risk-model-part-1/ ]

Levels of Automation in Oil and Gas

One of the aspects of the 4th Industrial Revolution [LINK] is automation.

I am often asked if automation could ever add value to oil and gas? I contend that there is a good reason to think it will because benefits could come from:

  • accurate control and adjustment leading to higher throughput;
  • self-repairing (or self-scheduled repair) leading to higher uptime;
  • more accurate execution of plans by reducing manual error; and
  • less distracted management leading to higher-value decisions;

Many people are sceptical that we can ever “automate” an upstream oil and gas production facility.  I agree that “full” automation is unlikely, but I would argue that partial automation is already present. What we need then is a way to describe “levels of automation” so we can define what we are talking about and reach agreement about what to do.

Autonomous cars are in the news for good reason right now, and are making great progress. Perhaps we can create a common language for “level of automation”. The SAE introduces itself as:

SAE International is a global association of more than 128,000 engineers and related technical experts in the aerospace, automotive and commercial-vehicle industries

It has defined 5 levels of automation that has now been adopted by the US Department of Transport. Here’s an explanation from wired magazine [LINK].

What dimensions could be used to classify degrees of oil and gas production automation? My definition of the process of automating is: “Reducing the friction between sensing what is going on and taking the right action”. This can be used to underpin a maturity matrix.

If we can sense what’s happening, reduce the friction before acting to zero and be exactly right in the actions we take – then this achieves perfect automation. Of course this then leads to the need to define in more detail: sense, friction and right.

Some of the steps that can lead to more automation are:

  • Improved sensing of the environment;
  • Distribution of sensing data;
  • Transformation of data into information (e.g. production vs. target);
  • Exploring related information, history and context (e.g. maintenance records)
  • Understanding the consequences of the information presented (prediction);
  • Checking possible actions and their impact (simulation);
  • Delegating decisions to reduce management delay; and
  • Feeding back observed results to scientifically tune future predictions (learn)

Contact me for more information about how it is possible to incorporate the above into an assessment of your organisation’s automation maturity and readiness for change.

 

 

 

 

 

BA IT and my Eggs Florentine

So it happened again yesterday. This time BA cannot handle luggage. A bit of an issue for an airline. No word yet as to the cause [Link] but it did mean that checked baggage did not travel with BA passengers.

I took a risk and travelled BA this last weekend (I was using air-miles for a trip to Romania where I was helping out a friend with a project in the hinterlands there) and the experience was pretty reasonable but even I had problems. This time my probelms came from catering.

I flew in the business class cabin  (or as BA call it Club Class – hopefully not a reference to how they will quell any dissent).  In any case there was all this pomp and ceremony involving hot towels and a menu for breakfast as we took off. I was given the choice of Full English or Eggs Florentine. Printed on some stout card in a very grand font. Sounded lovely. There were only 8 passengers in the cabin. But they packed only 4 of each menu item. Zero redundancy. So as I was the last to be served, I didn’t have a choice. The menu should have read – you’ll get what’s left over out the two possibilities or go hungry, good luck. People only got a choice until 4 people had chosen one option, and then there is no longer a choice. So, as my Texan friends would say, that fancy menu was all “Hat and No Cattle”

It seems that catering, like IT, didn’t use risk management and uncertainty when designing their systems. This highlights the danger of over-assuming and the consequences of running at minimum cost with no redundancy. Redundancy, like insurance, can be seen in hind-sight as wasteful. Sometimes it’s called “over engineering” – but only if it wasn’t needed. If the laws of probability catch up with you, it is really a prudent investment.

Risk management has three elements:

  1. Identification of the Risk, what can cause them and what the consequences will be
  2. Taking prudent steps to reduce the probability that the risk will materialise
  3. Making preparations so that if the worst does happen the effects are mitigated

Giving BA the benefit of the doubt and assuming that they knew that their IT systems may fail, the baggage system may halt, and that they may run out of eggs florentine, then I have to assume that BA management now hate their passengers.

The consequence failure seems to be  inconveniencing passengers.

Probability of Failure: At no time did they take steps to reduce the likelihood of tripping their whole IT system by pulling out a plug [link] (perhaps they might have double ported UPS, or Duct Tape over the plug!) or running out of my choice of breakfast (by perhaps packing say 6 of each choice, rather than 4).

Consequence of Failure: Let’s just inconvenience everyone – was not mitigated either, it was just accepted with a shrug. Though to be fair baggage was re-routed and couriered and people were re-booked on flights. I got an extra Bloody Mary. But still feel that it would have been better to reduce the likelihood of failure, as the mitigation seemed to be the minimum anyone could expect – and may be a legal requirement (except the bloody Mary of course, which probably the EU would not mandate)

Good luck with preserving the premium pricing for your Brand BA.

In a future post, I’m going to argue that as operations now rely on IT to deliver (and even more so in the 4th Industrial Revolution) it’s quite wrong that much of IT comes under the purview of the CIO rather it should now be part of the remit of the COO. Risk management of operational IT should focus on putting barriers in place to interrupt the cause and consequence routes, using an operational function lens, not an IT one. I Bet that is going to cause some organisational “team work” issues when it comes to budget time.

 

 

4th Wave Value – Upstream Oil and Gas

I’ve been engaged in several discussions recently on the benefits (or otherwise) of the 4th Industrial revolution [link] applied to oil and gas. I’ve decided to write a couple of pieces on this topic so I can refer to them with clients.

Technologies driving the revolution

I accept the WEF identification of the following general technologies that underpin the revolution:

  1. Wide-spread sensing of information
  2. Increased computing power, predictive models leading to increased understanding
  3. Artificial Intelligence leading to:
    1. Automation of actions
    2. Optimisation of whole systems
  4. Distributed, additive manufacturing

Benefits from the revolution

What will be the outcome of the 4th Industrial Revolution for upstream if we are successful?  Well there can only be three fundamental differences that can be made – I think we’ll get a combination of these:

  1. Per unit cost reduction in produced barrels
  2. Increased safety for the people involved in operations
  3. Decreased impact on the environment from activities

Items 2 & 3 tend to be driven on a compliance basis and form the requirements for permission to operate granted to companies by society using various methods of regulation, consumer pressure and protest. For my purposes I’ll assume that these are utilities [link] and that we always want more when there is no increase in cost, and that we’re unlikely to cut spending or trade down. Therefore, any cost-neutral improvement will be adopted and spending will only increase when it is mandated.

Driving down production costs

I am going to concentrate on the cost per unit production. This comes from the cost of capital used to find and develop a field, the cost to operate facilities, and provisions for decommissioning at end of life. As the owner-operator of an oil field there are distinct supply chains for each of four phases of life:

  1. Exploring, Finding and Appraising deposits of oil;
  2. Planning, Designing, Building and commissioning facilities to extract and transport it to market;
  3. Operating the facilities; and
  4. End of life decommissioning, facility disposal and restoration of the environment

Benefits for exploration

In the initial phase of oil field life I would say that we’ve already captured many of the benefits. Wide spread sensing and large computing power would be a great description of what happens with Seismic data, Geoscience earth-modelling and directional drilling.  I am sure that if I looked at the number of people employed and unit-cost of discovery of a deposit I would see a much more efficient scenario than we did in 1980. The figures are somewhat distorted on a cost-per-barrel basis as we have been finding smaller deposits (a feature of geology rather than our abilities).

Benefits for Development and Projects

In the field development phase, we have seen some ingress of new technologies – ROV, Subsea completions, dynamic positioning of FPSO’s and such has led to economically possible concepts for some small or hard-to-reach fields that we’ve found. Field and facility performance is more accurately understood through simulations and we’ve seen some benefits to designers from the use of CAD systems. There is still scope for development to reduce the cost and errors associated with Engineering, Procurement, Construction and Commissioning. There are few real-time feed-back loops here, or analysis of project simulations. The management of large capital projects is still a mine-field of risk, change orders, document control, cost-overruns and schedule blow-out. These are caused by fluctuations in the real-world vs. plan with late in-flight adjustments. More accurate planning, contingency, dependency management, construction order, logistics, pre-commissioning maintenance, start-up etc. would provide benefits.

Benefits for Operations

The revolution should be able to affect operational optimisation the most, this is an area almost untouched by the revolution so far. An OIM on a field from 1980 would recognise a lot of the technology (if not the work-practices) used today. The exception to this is the wide-scale adoption of communication meaning that the split between on-shore and off-shore is far less.

It is possible to argue that the 4th wave has enabled the shale revolution and that the operating practices from this type of development are fundamentally different to conventional offshore and on-shore fields. The operating margins are smaller, decline curves more dramatic and the constant drill-complete-operate cycle has forced change.

I may be controversial but I’d say a lot of the operational work-practice changes seen in the North Sea have majored on reducing manning offshore and increasing the safety of operations. I believe that, despite the vast increases in potential data, the fundamental way that information is gathered and acted upon has not changed much.

When I walk into a remote operations centre I see a lot of people collaborating with each other, lots of excel spreadsheets, cameras and discussion. Integrated planning and turn around planning are still being done off-line and I don’t see visibility of supply, logistics or automatic optimisation of these functions.

There is a conundrum here of course. The facilities that are in operation (and those still being commissioned) are not designed to harness 4th wave opportunities so we have (at least) two problems. Firstly we must retro-fit new concepts into facilities that will be with us for the next 30 years, and secondly we need to influence design and development so that this retro-fitting is no longer needed in the future.

Benefits for de-commissioning

It’s early days on the decommissioning front. I suspect that for operators the benefits will show up through normal procurement cycles. The smart profits are likely to accrue to those that can operate quickly and safely. Examples of clever automated technology are emerging – such as the self-levelling rams that lift whole top-sides fitted to the Pioneering Spirit [Link]

Next steps

With the current climate in Oil and Gas we’re seeing an increased interest in how to transform the operational environment and supply chain to drive out OPEX cost (development and exploration are of course now sunk [link)

Now I’ve set the context I’ll start to explore how an operator, or service company, can start to participate in these changes – what an operations business case will look like, what skills and approaches will be needed, what approaches are stopping innovation and what the risks are.

(Image source : http://ohioline.osu.edu/factsheet/cdfs-sed-2 )

BA – Blinking Awful?

I haven’t posted for a while as I’ve been very busy working with clients on industry 4 projects, but the recent IT outage for British Airways (BA) requires a response. (for more information on the BA IT outage follow this [link])

In August 2016, I examined the cost of the IT outage to DELTA airlines [link]. I calculated that this must have cost DELTA at least $60m [correction:  with related costs the post says it would be $100m]. In the wake of the BA story the FT published an article over the weekend [link] looking at the top 5 IT outages. They tell us that DELTA believed that it cost them at least $100m.

We’ll wait and see what effect that BA outage has on their revenues – but IAG (the owner for BA) declared a profit of about £2Bln for 2016, so there is a chance that this will have the possibility to knock 10% off the earnings for 2017.

Now – in an eerily similar set of circumstances to Delta – the company had recently outsourced their IT and they experienced a “power surge” and the back-up system didn’t work.

The following seem likely to me:

  1. The digitisation of business has happened and is accelerating, IT systems are not peripheral to operations they are now crucial.
  2. The creation, management and care of these systems are critical, but it appears that there is no-one on the senior leadership team who is on the case.
  3. The focus on “business cases” for IT investment don’t consider the transformation of current business operations, nor the risk of “not investing”

This posts talks about the need to prepare non-linear business cases [link].

The Oil and Gas industry (and others) are becoming rapidly digitised and will require different investment decisions around IT. It is no longer appropriate to concentrate on cutting costs, driving standardisation and outsourcing the activities. In operations “IT” is now critical to business success. This means good investment decisions drive competitive advantage and loss of IT capability can cripple the business.