BP Oman Achieves Significant Reduction in CO2 Emissions for the Khazzan Project
Fit-for-basin well cleanup solution enables zero-flaring delivery of new wells to central production facility
GHG emissions reduction goal
As part of BP’s commitment to advancing a low carbon future, BP operations around the world are striving to make a meaningful contribution to reduce GHG emissions. For BP Oman, a major GHG-emitting activity is associated with flaring in cleanup operations for new wells. For this scenario, BP Oman is taking the lead to identify and implement proactive ways of reducing GHG emissions in Khazzan Field for new well cleanups.
Introducing green completions
Supergiant Khazzan Field is characterized by tight reservoirs that require hydraulic fracturing to release the gas. After fracturing, wells are tested and cleaned up by the conventional method of flaring and burning the well fluids, which are gas and produced condensate. This results in the release of GHG to the atmosphere. To eliminate these emissions, BP Oman introduced green completions to Khazzan Field. The green completions technique redefines well testing from a GHG-producing activity to one that prevents GHG emissions by routing the hydrocarbons to the production facility.
BP’s ambition is to be a net zero company by 2050 or sooner and to help the world get to net zero. Schlumberger shares BP’s commitment to low carbon and is committed to set a science-based target by 2021 and update the CO2 emissions footprint ambition accordingly.
Collaborative design for challenging conditions
BP Oman engaged with Schlumberger to develop a fit-for-basin solution to clean up and produce gas from Khazzan Field after fracturing. All modifications and designs were performed through the Schlumberger RapidResponse customer-driven product development process to enable solids-free produced hydrocarbons at optimal conditions for combination with the processing facility pipeline.
Project success contributes to low carbon goals
The residual solids from stimulation operations that are often present in the fluid flowstream pose a risk to system integrity and can compromise process lines and production facility equipment. To address this risk, Schlumberger designed and installed an integrated separation, filtration, and acoustic monitoring system for the well testing solution.
One challenge was the relatively high separating process pressure needed, which demanded a specific well test design that didn’t exceed the process facility gathering system design pressure. A solution was developed by combining large-bore temporary pipelines and manifolds with a digitally enabled, high-capacity four-phase horizontal separator equipped with autonomous meters providing real-time measurements and monitoring efficient separation of the well effluent phases to deliver hydrocarbons at export specifications.
The design also enhanced process safety by incorporating 6-in safety valves in the electronic emergency shutdown system to address the high volume of hydrocarbons in the pipelines.
Project success contributes to low carbon goals
Schlumberger well testing solutions continue to operate at Khazzan Field and have set a new bar for operational efficiency and service delivery by improving customer performance. In 2019, the green completions well cleanup technique has been applied to 10 wells for flowback to clean up for production and reservoir testing. The result is more than 80,000 t of CO2 emission reduction. This is equivalent to taking nearly 18,000 cars off the road for a year.
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Satellite measurement is an ideal method for monitoring methane emissions from shale gas operations. Current methods require crews to visit each facility on a regular basis, whereas GHGSat’s high resolution satellites can identify superemitters through periodic surveys of all shale gas operations, without any on-site equipment, at a fraction of the cost of current methods.
As of 2019, GHGSat aircraft measurements will provide very-high resolution measurements of shale gas plays to complement GHGSat satellite measurements. Very high resolution measurements from GHGSat aircraft sensors will enable detection of smaller leaks, and localize those leaks within a facility to facilitate repair. GHGSat aircraft sensors will leverage the same post-processing toolchain used by its satellites, thereby cross-validating results and providing cost-effective aircraft services.
GHGSat’s “tiered solution” will combine satellite and aircraft measurements in a single service to detect approximately 90% of all methane leaks (by volume) from shale gas operations. This service is unique – no other company can combine both satellite and aircraft measurements in a single, cost-effective service for shale gas operators.
Inspections in the oil & gas industry can be a costly, dangerous job. Learn how the #Intel Falcon 8+ is reducing injury risk and creating cost savings. Subscribe now to Intel Business on YouTube: http://intel.ly/intelitcenteryt About Intel Business: Get all the IT info you need, right here. From data center to devices, the Intel® Business Center has the resources, guidance, and expert insights you need to get your IT projects done right. Connect with Intel Business: Visit Intel Business’s WEBSITE: http://intel.ly/itcenter Follow Intel Business on TWITTER: https://twitter.com/IntelITCenter Follow Intel Business on LINKEDIN: https://www.linkedin.com/company/it-c… Follow Intel Business on FACEBOOK: https://www.facebook.com/IntelBusiness Intel Falcon 8+ Drone transforms inspections conducted in the oil and gas industry | Intel Business https://www.youtube.com/intelitcenter
Youtube Published on Nov 16, 2017
They likened a courtroom ‘tutorial’ to the Scopes Monkey Trial. But their side got schooled.
Five American oil companies find themselves in a San Francisco courtroom. California v. Chevron is a civil action brought by the city attorneys of San Francisco and Oakland, who accuse the defendants of creating a “public nuisance” by contributing to climate change and of conspiring to cover it up so they could continue to profit.
No trial date has been set, but on March 21 the litigants gathered for a “climate change tutorial” ordered by Judge William Alsup —a prospect that thrilled climate-change alarmists. Excited spectators gathered outside the courtroom at 6 a.m., urged on by advocates such as the website Grist, which declared “Buckle up, polluters! You’re in for it now,” and likened the proceeding to the 1925 Scopes Monkey Trial.
In the event, the hearing did not go well for the plaintiffs—and not for lack of legal talent. Steve W. Berman, who represented the cities, is a star trial lawyer who has made a career and a fortune suing corporations for large settlements, including the $200 billion-plus tobacco settlement in 1998.
“Until now, fossil fuel companies have been able to talk about climate science in political and media arenas where there is far less accountability to the truth,” Michael Burger of the Sabin Center for Climate Change Law at Columbia University told Grist. The hearing did mark a shift toward accountability—but perhaps not in the way activists would have liked.
Judge Alsup started quietly. He flattered the plaintiffs’ first witness, Oxford physicist Myles Allen, by calling him a “genius,” but he also reprimanded Mr. Allen for using a misleading illustration to represent carbon dioxide in the atmosphere and a graph ostensibly about temperature rise that did not actually show rising temperatures.
Then the pointed questions began. Gary Griggs, an oceanographer at the University of California, Santa Cruz, struggled with the judge’s simple query: “What do you think caused the last Ice Age?”
The professor talked at length about a wobble in the earth’s orbit and went on to describe a period “before there were humans on the planet,” which “we call hothouse Earth.” That was when “all the ice melted. We had fossils of palm trees and alligators in the Arctic,” Mr. Griggs told the court. He added that at one time the sea level was 20 to 30 feet higher than today.
Mr. Griggs then recounted “a period called ‘snow ballers,’ ” when scientists “think the entire Earth was frozen due to changes in things like methane released from the ocean.”
Bear in mind these accounts of two apocalyptic climate events that occurred naturally came from a witness for plaintiffs looking to prove American oil companies are responsible for small changes in present-day climate.
The defendants’ lawyer, Theodore J. Boutrous Jr. , emphasized the little-discussed but huge uncertainties in reports from the United Nations Intergovernmental Panel on Climate Change and the failure of worst-case climate models to pan out in reality. Or as Judge Alsup put it: “Instead of doom and gloom, it’s just gloom.”
Mr. Boutrous also noted that the city of San Francisco—in court claiming that rising sea levels imperil its future—recently issued a 20-year bond, whose prospectus asserted the city was “unable to predict whether sea level rise or other impacts of climate change or flooding from a major storm will occur.”
Judge Alsup was particularly scathing about the conspiracy claim. The plaintiffs alleged that the oil companies were in possession of “smoking gun” documents that would prove their liability; Mr. Boutrous said this was simply an internal summary of the publicly available 1995 IPCC report.
The judge said he read the lawsuit’s allegations to mean “that there was a conspiratorial document within the defendants about how they knew good and well that global warming was right around the corner. And I said: ‘OK, that’s going to be a big thing. I want to see it.’ Well, it turned out it wasn’t quite that. What it was, was a slide show that somebody had gone to the IPCC and was reporting on what the IPCC had reported, and that was it. Nothing more. So they were on notice of what in IPCC said from that document, but it’s hard to say that they were secretly aware. By that point they knew. Everybody knew everything in the IPCC,” he stated.
Judge Alsup then turned to Mr. Berman: “If you want to respond, I’ll let you respond. . . . Anything you want to say?”
“No,” said the counsel to the plaintiffs. Whereupon Judge Alsup adjourned the proceedings.
Until now, environmentalists and friendly academics have found a receptive audience in journalists and politicians who don’t understand science and are happy to defer to experts. Perhaps this is why the plaintiffs seemed so ill-prepared for their first court outings with tough questions from an informed and inquisitive judge.
Activists have long claimed they want their day in court so that the truth can be revealed. Given last week’s poor performance, they may be the ones who inherit the wind.
Mr. McAleer is a journalist, playwright and filmmaker. He is currently writing a play about Chevron Corp.’s legal fight over alleged pollution in Ecuador.
Re-Published from THE WALL STREET JOURNAL
Top Priority ¨Mineral Security, offshore drilling and Climate Change“ MARCH 13, 2018 Interior Department Fiscal Year 2019 Budget Request Interior Secretary Ryan Zinke testified at a hearing on the Trump administration’s fiscal year 2019 Interior Department budget request. Topics include a proposed raise in national park 2019 Budget Request proposals of offshore drilling around the coasts, and his thoughts around the term “climate change.”
As the global energy transition accelerates, upstream operators must modernize and shift to more economic operating models. Where and how should they seek the next generation of efficiency gains?
As predictions of an early peak in oil demand take hold, upstream operators must find ways to produce more energy, more efficiently. Many have made significant performance gains in recent years. Across the sector, production costs are down 30 percent; safety incident frequency has fallen by a third, and production losses have declined by 15 percent since 2014. Yet more is necessary.
A marked spread in performance remains between the bottom and top quartile operators in every basin. On the UK Continental Shelf (UKCS), for instance, over 40 percentage points separate the lowest production efficiency asset from the top quartile. Similarly, the highest cost asset on the UKCS has twice the unit operating cost as the median and four times that of the top quartile in the basin.1
Furthermore, new technologies and ways of working are resetting top quartile performance levels. Our research2shows digital technologies may improve total cash flows by USD 11 per barrel across the offshore oil and gas value chain, adding USD 300 billion a year by 2025.
What distinguishes the success cases from the also-rans? What sustains their improvement momentum? Through our extensive experience of leading asset turnarounds in Petroleum Asset eXcellence, we observe that upstream operators who sustain their improvement momentum do two things well.
First, they challenge five interlinked drivers of their operating model in an integrated way (Exhibit 1). These drivers are: their asset strategy; physical equipment-in-place; work required to operate and maintain that equipment; workflows and methods used to conduct that work; and the competencies required from the team deployed to do it. While each driver will yield some efficiency gains when used alone, in aggregate, they can more than double the value potential of existing operations.
Second, having had one go at improving their operating model, these operators are willing to build on what did not work in round one, and take a second, third, or even fourth look. In fact, they build a continually evolving operating model that achieves higher and more predictable production performance, operating costs for a ‘lower forever’ price environment, and smaller, flexible and more diverse teams that are better suited to the industry’s aging pool of skilled labor.
This article lays out a concrete logic that any operator might use to develop a continually evolving operating model and illustrates through real examples the success factors of making this change happen.
Developing a clean-slate vision of your operating model
In early 2015, an operator with upstream assets in various life stages found itself with negative cash flows, declining production and escalating costs. A vertiginous price drop and unconvincing track record of operational performance made any prospect of recovery seem unlikely. The operator went back to a clean slate: it took a hard look at its field and hub strategies—reprioritizing its efforts across near-field exploration, wells-reservoirs-facilities management and asset rejuvenation; made radical choices to optimize lifting costs and staffing levels; and pursued capital productivity relentlessly across its portfolio. Over the next year, as the operator’s competitiveness improved, its confidence rose as well.
It took another look at its operating model, replicating this end-to-end clean-slate approach, and emerged with an ambitious agenda to restore positive cash flows within two years. Since then, this operator has divested non-core assets, rezoned unwanted surplus capacity on declining assets, improved front-line agility, and embraced digital technologies. With a continually evolving operating model, it has reverted to positive cash flows a year earlier than planned, marking a first in its recent history.
How did the operator build a clean-slate vision of its operating model? What logic does it apply every year? Exhibit 2 highlights the five interlinked drivers of operating model redesign and provides a checklist of questions any operator might ask itself.
1. How does your asset strategy fit with your asset’s life stage?
Exploration and production (E&P) companies rarely look at asset strategies in operational excellence programs. This is a missed opportunity. Clean-slate asset strategies help operators make deliberate choices on which fields to grow, operate as mature, swap with others, abandon, or divest. A Western European operator with mature operations realized that half the fields in its portfolio would generate 95 percent of its future cash flows. Consolidating the portfolio would free up scarce capital and talent for its most productive assets with material remaining reserves. Moreover, legacy ownership structures concealed bottlenecks in third-party infrastructure: this restricted current operating capacity and the ability to mature reserves through production. Redrawing portfolios in line with which operator-controlled critical processing capacity and evacuation routes—swapping assets and acreage with contiguous operators, for instance—could improve the basin’s future economics and simplify day-to-day operations for individual parties.
A regular discipline of considering clean-slate asset strategies—commonly in an annual cycle—helps revisit field development plans and improve recovery rates. An African client with a portfolio of 800 closed-in wells concluded that intervening in a mere 5 percent of the closed-in well stock could add 30 kboe/d in the first year, with payback also within the same period. It made wells and reservoir management a top priority in capital allocation and operational plans across its upstream portfolio.3
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More than all else, clean-slate asset strategies enable customization of our remaining four drivers based on whether an asset is going through growth or decline. Operators committed to building and maintaining additional capacity, such as capital-intensive facilities improvement programs, only where there are remaining reserves and future value potential, or they eliminate expensive optionality wherever the asset’s maturity makes it irrelevant to future value creation.
2. What is the leanest physical footprint for your asset?
The physical footprint of an asset has always been a major driver of project economics. With increasingly small and stranded reserves and limited discretionary spending, it has become the single largest factor in project break-evens. Additionally, the physical footprint shapes operational processes and determines the structural limits of operating cost optimization across asset lifecycles. Examples of these limits include deck space, number, and type of crane, storage and layout, and redundancy in installed equipment. We recommend that operators consider the total value of owning their physical footprint—in design and in operations.
For new builds, considering the total value of owning their physical footprint may lead to smaller, modular, unmanned or energy self-sufficient designs. A North Sea independent used a standard platform design to shorten the engineering process and achieve first gas within 18 months versus industry averages of 30 to 36 months. The standard topsides—developed for two marginal fields were usable in other fields within a comparable range of gas throughput. The modular jacket was suitable for similar shallow water resources. Solar and wind power generation with battery storage reduced air emissions and offered energy self-sufficiency. Standardization and modularity rationalized maintenance costs just as much as FEED capital. As routines were replicable across the portfolio, a standard campaign-based maintenance approach yielded material synergies in engineering, work preparation, and spares management.
For mature assets, standard subsea design and equipment improves the economic attractiveness of brownfield expansions. Besides, obsolescence, fatigue or corrosion issues can all serve as triggers to make the asset easier and more economical to maintain. One operator in West Africa replaced traditional flowlines with thermoplastic ones. With better corrosion resistance, higher asset integrity and longer life, these new materials drastically extended schedules for inspections and maintenance routines. In a different example, a North Sea late-life asset systematically challenged the equipment in place to reduce surplus capacity in power generation, compression, and storage vessels. The lower physical footprint eliminated 25 percent of required maintenance hours and allowed redeployment of the maintenance team to more pressing pre-Cessation-of-Production imperatives. With a total value of ownership approach, this operator tackled the growing divergence of needs from means in its initial operating envelopes, and structurally reduced its operating cost base.
3. How can you compress your workload?
In asset turnarounds, we commonly encounter over-reliance on time-driven maintenance philosophies. Equipment strategies are set to standard specifications and adapted marginally as assets move through steady-state production into decline. The outcome is inflated workloads and costs, combined with an operations and maintenance plan that does not adapt adequately to emerging reliability or integrity challenges. Our proprietary maintenance benchmarks indicate that there can be a 5 to 10 percentage point differential in production efficiency and 20 to 30 percentage point differential in maintenance costs between top quartile operators and the also-rans.
Success cases exercise both traditional and digital levers to optimize the overall operations and maintenance workload. Traditional choices include stepping away from a 100 percent inspection approach to risk-based strategies in mid-life assets or run-to-failure for late life ones. However, next-generation operations and maintenance is centred on equipment sensors for performance data, advanced analytics and machine learning to predict and avoid failures, with maintenance or replacement on an as-needed basis. This end-to-end digitally enabled system makes activity workloads smaller and more predictable, feeds into more efficient and economic management of materials and people, and levels the operational risk-return profile of an oil and gas business towards the steadier profile of a manufacturing one.
A mature asset operator makes timely interventions through failure prediction to reduce asset downtime. Predictive maintenance incorporates sensor data and condition monitoring results in a machine-learning algorithm, which recognizes patterns associated with different failure modes on a specific machine. As no two machines are alike, the learning algorithm can customize trigger points for failures on each individual piece of equipment, thus allowing maintenance teams to plan better, reduce the incidence and severity of failures, and compress the time to recovery. The operator has reduced downtime on critical machines by as much as 30 to 50 percent.
Most significantly, predictive techniques are redefining the scope and composition of maintenance activities, enabling organizations to have smaller maintenance teams and lower operating costs. Exhibit 3 shows the expected future impact for this mature asset operator.
Predictive techniques are relevant regardless of the life stage of an asset. However, operators may choose to match upfront investment with the remaining life of their assets. While an overhaul of multiple systems into a single platform may have a positive business case at an early-life asset, a mature asset may better use an integrated platform that consolidates scattered data from legacy systems and rapidly digitizes key operational workflows.
4. How can you multiply the work hours you obtain?
Upstream operators consistently appear middle of the pack in time-in-motion studies, reporting an average of 20 to 30 percent of a shift as productive. However, world-class process-based industries and leading upstream operators can extract 7 hours of value-added work in a 12-hour shift; in some cases, particularly in campaign-based interventions, they can achieve 8 to 10 hours of useful work per shift.
Lean tools continue to be the mainstay of improving productivity. In addition, the vision for next-generation operations and maintenance is to put the employee at the core, flipping the model from ‘thinking like the manager’ to ‘thinking like the technician.’ This means that anything in the way of the technician’s doing value-added work must be minimized, or where possible, automated.
At an offshore asset, we shadowed technicians to uncover their pain points. Three pain points emerged at the top:
A manual and substantial data reporting burden that went beyond industry compliance requirements: this trapped the offshore installation manager and supervisors at their desktops.
A time-based schedule and planned loading approach in compliance with company maintenance execution standards: often, this imposed twice as many work orders and doubled the time per work order relative to actual execution data. While the asset was plan compliant, the maintenance teams had effective surplus capacity.
Focus on a process rather than equipment or systems: this prompted compliance with complex process steps and reporting to relevant technical authorities over equipment care and ownership.
Addressing technician pain points along the maintenance execution process was the main lever for improving productivity. The operator reacted with three innovations:
Digitization of key workflows had the secondary benefit of allowing most compliance data to be tracked autonomously and routed to a secure site for reporting to the parent company or regulator. This freed up offshore supervision capacity. Gradual deployment of IoT and mobile devices over the next two years was expected to provide further relief through real-time reporting.
Time-based scheduling and plan loading was replaced with the use of actual execution data captured in digital work tracking systems. Surplus capacity in maintenance teams could be redeployed to liquidate maintenance backlogs or better utilized for standby work. The operator was beginning to implement next-generation control of work, with increased automation in integrated planning, permit-to-work processing, and work notifications.
Process simplification liberated front-line time and capacity. Simple engineering was delegated to an offshore engineer who supervised ‘find and fix’ and accelerated simple jobs without routing them back to a central team or contractor.
But front-line equipment care and ownership required organizational refinements. This brings us to the fifth driver of next-generation operating models.
Rethinking the oil and gas organization Read the article
5. What is the minimum organization you need to achieve your business goals?
Upstream companies typically start and end reorganizations with the organization itself. Notwithstanding its limited impact on resourcing levels, this approach constrains companies’ abilities to visualize how they might adopt new technologies, such as digital tools, or introduce organizational agility, a premium functionality in our world of relentless change.4
Building a next-generation operations and maintenance team begins with drafting the minimum capabilities required for steady-state operations. At its most elemental, an operator takes a zero-based budgeting approach: desktop analyses and cross-functional scrums help set the size and shape of the smallest team with the skills to conduct the asset’s baseload activity set, and add incremental capacity only if there is a strong business case for it. So, while an early-life asset operator might aim for equipment familiarity through hands-on commissioning, a late-life asset operator would accommodate capacity to address integrity challenges. Even with this minimalist mindset, it is easy to rationalize why additional technicians should be on standby for unanticipated trips.
We have seen assets operating with teams less than half the prevailing norm, and specific activities, such as routine well interventions for reservoir data acquisition, run with team sizes of around 25 percent of what is typical. Three choices facilitate flexible access to the required capabilities:
Fluid teaming. Multiskilling through a second service role, combined operations and maintenance roles or a secondary competence is more talked of than implemented. Many technicians often have broader competences than trades-based staffing models allow. In next-generation operations and maintenance teams, we go further towards an agile organizational structure, designed around equipment ownership. For instance, an equipment improvement team is cross-functional with representation from challenge areas, such as engineering, maintenance or supply chain. It is self-managing and has end-to-end accountability for the reliability of its equipment. Each team sets out with a performance target associated with its equipment and has compensation tied to the results achieved.
Redefining skill requirements. As operators increasingly deploy digital technologies—improving work-scope predictability—unmanned operations become more feasible. An integrated remote operations centre staffed with data scientists and operations-skilled digital translators—who marshal advanced analytics models for production optimisation—is no longer inconceivable.
Use of innovative partnerships for non-core and peak load activities. Contracting is the traditional option for flexible access to skills. In a 21st-century organization, this might look more like a risk-sharing partnership. In a recent example, a large upstream oil and gas company established a long-term contract with two asset management contractors to increase production in a mature field. While reserves continued to be owned by the upstream company, the contractors operated under a cost recovery model with a bonus for how quickly they increased unit cash flows. Tailored alliances across the sector, with distinct contributions from participating upstream companies, can go beyond supply chain relationships. A recent merger of two operators combined the operational excellence of a leaner independent with a larger incumbent’s superior basin expertise. In the year following the transaction, the new entity nearly doubled production, providing greater financial robustness and a platform for long-term growth to both partners.
Ultimately, reorganizations must ensure access to the right talent within the asset’s business context. Organizational agility can achieve this without compromising process and personnel safety. Even with fluid teaming, the roles of the offshore installation manager or the site supervisor as safety custodian remain intact.
Achieving a continually evolving operating model will require new approaches to operational transformations, skill sets, and ways of working among the people who will make it happen. While the traditional transformation roadmap to arrive at well-defined goals is still relevant, an agile development and implementation process will be needed to accommodate greater collaboration and learning on the go. Multifunctional teams will work together on end-to-end processes to create new solutions, using shorter sprints to design minimum viable products, and being happy to fail fast as long as they learn in the process. This will put front-line teams and middle management at the heart of the transformation. And operators will have to invest in building both their belief in the value potential and their capability to deliver the required changes.
None of this will be easy, but it will be necessary if oil and gas operators are to attain the next wave of structural improvements amid the uncertainties of an ever-evolving industry.
December 2017, McKinsey & Company, www.mckinsey.com. Copyright (c) 2018 McKinsey & Company. All rights reserved. Reprinted by permission.
- Robotics projects announced with both Sonomatic and University of Strathclyde
- Technologies focus on reducing cost and improving safety of vessel inspection
- Next Asset Integrity ‘Call for Ideas’ seeks corrosion under insulation solutions
The Oil & Gas Technology Centre has invested in three robotics projects to transform pressure vessel inspection, which costs the industry hundreds of millions each year and poses significant safety challenges.
The projects were selected as part of our first Asset Integrity ‘Call for Ideas’, which launched in 2017. Pressure vessel inspection was identified by the industry as a crucial challenge to maximising economic recovery from the UK Continental Shelf.
Non-intrusive inspection (NII) of pressure vessels can deliver significant cost and safety benefits. Sonomatic’s aim is to develop the next generation of robotic NII technology, with improved speed, agility and autonomy compared with existing systems. The robot, incorporating advanced inspection technologies, will help increase production uptime, reduce costs and improve efficiency.
Separately, we’re working with the University of Strathclyde to develop a new robot crawler equipped with 3D laser scanning and non-destructive testing technology. Existing crawlers are typically deployed only when there is clear line-of-sight for the operator. The University’s solution will construct a virtual, dynamic 3D representation of the inspection site meaning it can be operated safely from a remote location.
We’re also supporting the University of Strathclyde in the use of swarms of small unmanned aerial vehicles, or drones, for visual inspection offshore. Drone swarms, which are being rapidly adopted by the military and for logistics activities, could deliver a safe, flexible and cost-effective alternative to human inspection.
In March 2018, we launch our second Asset Integrity Call for Ideas, focused on predicting, preventing, detecting and repairing corrosion under insulation. More information will be communicated in the coming weeks.
Rebecca Allison, Asset Integrity Solution Centre Manager, said:
“From day one, developing and deploying new technology for pressure vessel inspection has been a key focus area for the Oil & Gas Technology Centre. We’re delighted to be investing in robotics projects with Sonomatic and the University of Strathclyde, which we believe can significantly reduce costs, improve efficiency and enhance safety.
“Process vessel inspection and corrosion under insulation cost the industry more than £300 million each year so it is important that our first two Calls for Ideas focus on these challenges. We’re always looking for innovative ideas and concepts from inside and outside the oil and gas industry and look forward to launching our next Call in March.”
Mark Stone, Integrity Services Manager, Sonomatic, said:
“We’re excited to be working with the Oil & Gas Technology Centre to develop the next generation of robotic inspection tools for non-intrusive inspection. There have been significant advances in robotics technology, inspection solutions and data science over the past few years and the support from the Technology Centre will ensure these are soon available in a practical tool for field application.”
Willie Reid, Director of the Strathclyde Oil and Gas Institute, said:
“The robotics team at Strathclyde, led by Dr Gordon Dobie and Dr Erfu Yang, are excited to be working with the Oil & Gas Technology Centre on these challenges for improving inspection for offshore asset integrity.
“In a multi-disciplinary approach, they will use the broad experience of both the Centre for Ultrasonic Engineering and also the Department of Design, Manufacture and Engineering Management. We will also utilise our experience in transferring technology from other sectors into oil and gas.”