WEBINAR | Combined Heat and Power for the Modern Oilfield
CHP for the Modern Oilfield
On-Site Power Generation and Thermal Energy for Oilfield Operations
Recorded September 13, 2018
Presented by the US Department of Energy Upper-west CHP Technical Assistance Partnership
The Oilfield is evolving to exploit the many advantages of electrification, automation and other technological advances to reduce cost, enhance safety, and improve efficiency. The electrified oilfield presents enormous opportunity to realize value from on-site power generation using locally-produced natural gas.
Combined Heat and Power (CHP) provides both electric power and thermal energy (heat) from a single on-site source, such as a turbine or reciprocating engine. Learn about CHP applications and benefits for reliable on-site power and utilizing recovered heat for produced water management, enhanced oil recovery, and other purposes
View Webinar here
CHP offers many advantages of energy efficiency and resilience. Recognizing this, the US Department of Energy (DOE) provides funding to assist public and private entities to implement CHP at facilities of many types. The DOE CHP Technical Assistance Partnerships (TAP) program promotes CHP technology solutions for the industrial and manufacturing sectors, critical infrastructure, institutions, commercial facilities, and utilities seeking to reap the many benefits of CHP. HARC is home to two regional CHP TAPs: the Southcentral Region, serving Texas, Louisiana, Arkansas, Oklahoma, and Arizona; and the Upper-West Region, encompassing Montana, South Dakota, North Dakota, Wyoming, Utah, and Colorado.
The US Department of Energy Southcentral and Upper-West CHP Technical Assistance Partnerships. Through this program, the TAP offers site qualification screenings, feasibility studies, third party project development support, as well as outreach and education to potential CHP end-users. The HARC team is ready to work with you as you consider CHP. Learn more at http://www.harcresearch.org/work/CHP_TAP or contact Gavin Dillingham, PhD, Director of the Southcentral and Upper-West CHP TAP Programs at [email protected] or 281-364-6045.
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Research Scientist, Energy and Sustainability -
Research Associate, Energy Production and Clean Energy Technology -
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Research Scientist, Energy and Natural Resource Policy
Artificial Intelligence, Automation, Education, Employment, Featured 1, Gas Flaring, OFFSHORE OPERATIONS, Robotics
Oil And Gas CEO: New Tech Creates Opportunity
Data from KPMG’s 2018 Oil and Gas CEO Outlook, released Oct. 10, reveals that globally, almost all oil and gas CEOs believe new technology creates opportunities. Eighty-five percent are piloting or have already implemented Artificial Intelligence (AI).
However, only 59 percent feel their organization is an active disruptor in their own sector, and 57 percent feel that the lead times to achieve significant progress on transformation can be overwhelming
“Technology is disrupting the status quo in the oil and gas industry. AI and robotic solutions can help us create models that will predict behavior or outcomes more accurately, like improving rig safety, dispatching crews faster, and identifying systems failures even before they arise. This level of predictability can have a profound impact on our industry, said Regina Mayor, Global Sector Head, Energy, and Natural Resources, KPMG.
When asked about the biggest long-term benefits of AI, 46 percent of CEOs indicate an acceleration of revenue growth, 39 percent indicate increased agility as an organization, and 39 percent point to improved risk management, all within a three-year time frame. Further, they indicate high levels of confidence in their organizations’ digital transformation programs, AI systems, and robotic process automation.
Further, 58 percent of O&G CEOs feel AI and robotics technologies will create more jobs than they eliminate. In fact, 93 percent of CEOs expect an increase in industry-wide headcount over the next three years.
As oil prices remain elevated, industry confidence is up and CEOs are setting their sights on growth opportunities, with 85 percent very confident or confident on industry growth, and 88 percent very confident or confident on company growth prospects.
As part of their growth strategies, 83 percent of O&G CEOs anticipate a moderate to a high appetite for M&A activity over the next three years, largely driven by the need to reduce costs through synergies/economies of scale; a speedy transformation of business models; increased market share and low-interest rates.
“The higher price of oil is playing a significant role in driving a more positive sentiment across the industry,” said Mayor. “Executives are really honing in on ways they can improve internal efficiencies through strategic M&A moves and the use of robotics, AI and other means of digitalization across the industry.”
Despite a rosy outlook, there are still concerns and threats to achieving growth. Among the biggest threats to, 23 percent of CEOs point to emerging/disruptive technology risk, 20 percent say environmental and climate change risks and 18 percent point to a return to territorialism are most concerning.
Publisher by: Laxman PaiWednesday, 10 October 2018 23:36
SOURCE: OFFSHORE ENGINEER
Sustainable Oilfield selected as official media partner for 2018 IOT Solutions World Congress, Barcelona
Subsurface Data in the Oil and Gas Industry
Probing beneath the Earth’s surface for exploration and hazard mitigation
Drilling for oil and gas is expensive. A single well generally costs $5-8 million onshore and $100-200 million or more in deep water.1 To maximize the chances of drilling a productive well, oil and gas companies collect and study large amounts of information about the Earth’s subsurface both before and during drilling. Data are collected at a variety of scales, from regional (tens to hundreds of miles) to microscopic (such as tiny grains and cracks in the rocks being drilled). This information, much of which will have been acquired in earlier exploration efforts and preserved in public or private repositories, helps companies to find and produce more oil and gas and avoid drilling unproductive wells, but can also help to identify potential hazards such as earthquake-prone zones or areas of potential land subsidence and sinkhole formation.
Mapping the Subsurface 1: Regional Data from Geophysics
In the 21st century, much is already known about the distribution of rocks on Earth. When looking for new resources, oil and gas producers will use existing maps and subsurface data to identify an area for more detailed exploration. A number of geophysical techniques are then used to obtain more information about what lies beneath the surface. These methods include measurements of variations in the Earth’s gravity and magnetic field, but the most common technique is seismic imaging.
Seismic images are like an ultrasound for the Earth and provide detailed regional information about the structure of the subsurface, including buried faults, folds, salt domes, and the size, shape, and orientation of rock layers. They are collected by using truck-mounted vibrators or dynamite (onshore), or air guns towed by ships (offshore), to generate sound waves; these waves travel into the Earth and are reflected by underground rock layers; instruments at the surface record these reflected waves; and the recorded waves are mathematically processed to produce 2-D or 3-D images of subsurface features. These images, which cover many square miles and have a resolution of tens to hundreds of feet, help to pinpoint the areas most likely to contain oil and/or gas.
A typical setup for offshore seismic imaging. Image Credit: U.S. Bureau of Ocean Energy Management.2
Mapping the Subsurface 2: Local Data from Well Logs, Samples, and Cores
Drilling a small number of exploratory holes or using data from previously drilled wells (common in areas of existing oil and gas production) allows geologists to develop a much more complete map of the subsurface using well logs and cores:
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A well log is produced by lowering geophysical devices into a wellbore, before (and sometimes after) the steel well casing is inserted, to record the rock’s response to electrical currents and sound waves and measure the radioactive and electromagnetic properties of the rocks and their contained fluids.3 Well logs have been used for almost 100 years4 and are recorded in essentially all modern wells.
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A core is a cylindrical column of rock, commonly 3-4 inches in diameter, that is cut and extracted as a well is drilled. A core provides a small cross-section of the sequence of rocks being drilled through, providing more comprehensive information than the measurements made by tools inside the wellbore.5 Core analysis gives the most detailed information about the rock layers, faults and fractures, rock and fluid compositions, and how easily fluids (especially oil and gas) can flow through the rock and thus into the well.
By comparing the depth, thickness, and composition of subsurface rock formations in nearby wells, geoscientists can predict the location and productive potential of oil and gas deposits before drilling a new well. As a new well is being drilled, well logs and cores also help geoscientists and petroleum engineers to predict whether the rocks can produce enough oil or natural gas to justify the cost of preparing the well for production.7
A box containing 9 feet of 4-inch diameter core from the National Petroleum Reserve, Alaska, showing the fine-scale structure and composition of the rock layers being drilled. Image Source: U.S. Geological Survey.6
Data Preservation
Preservation of subsurface data is an ongoing challenge, both because there is so much of it and because a lot of older data predate computer storage. A modern seismic survey produces a few to thousands of terabytes of data;8 state and federal repositories collectively hold hundreds of miles of core;9 and millions of digital and paper records are housed at state geological surveys. For example, the Kansas Geological Society library maintains over 2.5 million digitized well logs and associated records for the state.10 Oil companies also retain huge stores of their own data. Preserving these data, which cost many millions of dollars to collect, allows them to be used in the future for a variety of purposes, some of which may not have been anticipated when the data were originally collected. For example, the shale formations that are now yielding large volumes of oil and natural gas in the United States were known but not considered for development for decades while conventional oil and gas resources were being extracted in many of the same areas. Archived well logs from these areas have helped many oil and gas producers to focus in on these shale resources now that the combination of hydraulic fracturing and horizontal drilling allow for their development.
Data for Hazard Mitigation
Oil and gas exploration is a major source of information about the subsurface that can be used to help identify geologic hazards:
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Since 2013, the oil and gas industry has provided more than 2,500 square miles of seismic data to Louisiana universities to assist with research into the causes and effects of subsidence in coastal wetlands. For example, seismic and well data have been used to link faults to historic subsidence and wetland loss near Lake Boudreaux.11
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To improve earthquake risk assessment and mitigation in metropolitan Los Angeles, scientists have used seismic and well data from the oil and gas industry to map out previously unidentified faults. This work was motivated by the 1994 Northridge earthquake, which occurred on an unknown fault that was not visible at the Earth’s surface.12
More Resources
U.S. Geological Survey – National Geological and Geophysical Data Preservation Program.
References
1 U.S. Energy Information Administration (2016). Trends in U.S. Oil and Natural Gas Upstream Costs.
2 Bureau of Ocean Energy Management – Record of Decision, Atlantic OCS Region Geological and Geophysical Activities.
3 Varhaug, M. (2016). Basic Well Log Interpretation. The Defining Series, Oilfield Review.
4 Schlumberger – 1920s: The First Well Log.
5 AAPGWiki – Overview of Routine Core Analysis.
6 Zihlman, F.N. et al. (2000). Selected Data from Fourteen Wildcat Wells in the National Petroleum Reserve in Alaska. USGS Open-File Report 00-200. Core from the well “East Simpson 2”, Image no. 0462077.
7 Society of Petroleum Engineers PetroWiki – Petrophysics.
8 “Big Data Growth Continues in Seismic Surveys.” K. Boman, Rigzone, September 2, 2015.
9 U.S. Geological Survey Core Research Center – Frequently Asked Questions.
10 Kansas Geological Society & Library – Oil and Gas Well Data.
11 Akintomide, A.O. and Dawers, N.H. (2016). Structure of the Northern Margin of the Terrebonne Trough, Southeastern Louisiana: Implications for Salt Withdrawal and Miocene to Holocene Fault Activity. Geological Society of America Abstracts with Programs, 48(7), Paper No. 244-2.
12 Shaw, J. and Shearer, P. (1999). An Elusive Blind-Thrust Fault Beneath Metropolitan Los Angeles. Science, 283, 1516-1518.
How to achieve technology innovation in the oil and gas industry
Many industries have exploited the exciting opportunities to create new products and markets, but the oil and gas sector has lagged behind and has resulted in the oil and gas industry failing to exploit the potential of new technologies
The oil and gas industry is now at a pivotal point in its evolution and we are now on the cusp of a transformation. The rise of new technologies, coupled with the ongoing global push for a reduced environmental impact, is altering the industry. Organisations across the sector face growing pressure to streamline their operations in order to improve overall efficiency and unlock additional barrels of oil to maximize revenue.
Despite these new hurdles, the oil and gas sector has been generally very slow compared to other industries when it comes to leveraging the potential of new technologies to innovate and optimize the performance of its systems. While companies have tackled the lower oil price with positive actions to reduce environmental impact, lower operating costs and increase efficiency, these gains must now be made sustainable, Therefore, we must truly transform the way we work.
See also: How can drones power the offshore oil and gas operations?
In light of these challenges, it is now vital that players, both new and old, fully embrace the potential of new solutions to kickstart the sector’s technological revolution and achieve the higher level of stability it desperately needs. Research conducted by McKinsey & Company found that the effective use of digital technologies across the industry could lower capital expenditures by up to 20%, reduce operating costs in upstream by 3 to 5% and by about half that that in downstream, demonstrating the clear cost-savings opportunities and efficiency to be had.
Investment in today’s visionaries for tomorrow
With new technologies emerging every day, many with the same promise of reducing costs and optimizing a business’ performance, ways to achieve technological advancement across the industry are now in abundance and oil executives must consider how best to accelerate this innovation to ensure its continued success on a global scale.
At the core of most of today’s technological innovation is either a desire or need to solve a particular problem. This way of thinking is often demonstrated best by those with a different vision of the industry’s future, who are able to identify the areas needing improvement and develop new solutions accordingly. The current oil and gas sector is no exception, and we are now seeing a rapid increase in the number of emerging oil and gas startups looking to move the industry away from its traditional practices and towards a new and more efficient way of operating.
In an industry where innovation is now the key to sustainability, the ‘if it isn’t broke, don’t fix it’ approach to development will no longer suffice. Larger companies must refocus much of their investment on the smaller, more ambitious technology developers to ensure revolutionary solutions enter the oil and gas market faster and enable them to prepare their existing solutions for success within a new era of innovation.
See also: 3 industries saving billions with cognitive machine learning
Accelerating changes to how we work and embracing new technologies will, therefore, be at the heart of the industry’s transformation; improving productivity, increasing efficiency and creating well-paid jobs. That said, it still vital that companies continue to balance this level of innovation with their existing knowledge of best practice for oil and gas organizations, to ensure a consistent position within the industry of both today and tomorrow.
One particular concept we have seen emerge across the oil and gas industry within the last decade is the digital oilfield, which refers to the real-time automation of operations through a combination of business process management systems and complex information technology, to ensure the simple management and tracking of the data. This has presented oil and gas companies with one way to streamline systems and achieve technology innovation, however, a greater investment in startups could see many other opportunities come to fruition. This means we must have a technology vision for the industry and a future where remote operations and automation are the norm.
Embracing a collaborative approach
One of the biggest challenges for oil and gas companies when achieving this degree of innovation on an industry-wide scale is finding the best way to integrate ground-breaking, new technologies. Embracing a more collaborative amongst new entrants and existing players is essential for streamlining the oil and gas landscape, reducing costs and overcoming the current lack of widespread technological development across the sector.
Partnered with a clear strategy for implementing this innovation across their business model, a greater convergence between the old and new will ensure companies are taking the best solutions from across the industry, not only to achieve innovation but to also give them a greater competitive edge within an increasingly in-demand and saturated market. This will require the industry, technology providers, government, regulators all working in partnership to deliver the technology transformation.
See also: Embracing hybrid cloud services in traditional industries
This kind of approach can provide huge benefits for all involved. For startups looking to enter the space, it can help them to connect with major investors and bring their solutions to market quickly and successfully as a result of increased investment, facilities, and resources. For the larger companies looking to invest in technology-driven solutions, this can help to change their outlook on their existing infrastructure and help to fill any technology gaps with revolutionary companies and products.
Oil and gas technology has not yet been at the forefront of the global innovation agenda, yet with demand for these services increasing every day, it is becoming increasingly ranked as a priority for change in many countries worldwide. It is now time to fully kick-start the industry’s technological revolution and the key to achieving this lies within the hundreds of emerging solutions being created by developers striving for sustainability and efficiency.
Originally published on Information Age
Sourced by David Millar, TechX director, the Oil & Gas Technology Centre
Enterprise AI with the CIO and CMO: Better together benefits
Here’s a look at how AI is transforming entire enterprises, particularly through the lens of marketing and IT, and why the two teams must work together.
The massive impact AI has already had in marketing, and what we expect to see of it in the near future, is a hot topic here at MarTech Today. In my previous columns, we’ve explored how AI will be woven into marketing organizations, where it belongs in your marketing stack, and where CMOs should focus today to get the best results from their investments in AI.
There’s no doubt it’s become widespread; in fact, global spend on artificial intelligence is expected to grow from an estimated $2 billion this year to $7.3 billion per year by 2022, according to a study from Juniper Research. Yet, as abundant as it is, artificial intelligence is still a mystery to many.
Case in point: Only 33 percent of consumers think they use AI-enabled technology, yet new research shows that 77 percent actually use an AI-powered service or device.
Marketers are perhaps savvier to the opportunities than most, so it was no surprise that when my company, BrightEdge, recently asked over 500 marketers to identify the next “big trend in marketing,” 75 percent pointed to some type of AI application.
CMOs are challenged now to not only identify the right AI applications to solve specific problems but to then sell those to the CEO, other company leaders and the teams that will use the technology. Today, we’re going to broaden the scope and take a look at just a few of the ways AI is transforming entire enterprises, particularly through the lens of marketing and IT integration.
The CIO, CMO and AI
We learned in recent Adobe research that 47 percent of digitally mature organizations, or those that have advanced digital practices, said they have a defined AI strategy.
We all know that Google has one. The search giant dropped a whopping $3.2 billion acquiring Nest Labs, the largest of its $3.9 billion in disclosed AI acquisitions since 2006. All told, Google has invested $3.9 billion in AI deals, more than any other company.
Microsoft, Apple, Intel and SalesForce behind Google round out the top five companies making acquisitions of AI. (Intel takes the crown for the highest number of unique investments in AI companies, at 81.)
Sixty-one percent of over 1,600 marketing professionals from companies of all sizes pointed to machine learning and AI as their company’s most significant data initiative for next year, a MemSQL survey found.
But where is all of this interest and investment headed?
Take a look at Amazon for a sneak preview. The e-commerce giant completely rebuilt itself around AI, with spectacular results, according to a feature published in Wired. In 2014, according to the article, Srikanth Thirumalai, computer scientist and head of Amazon’s recommendations team, brought CEO Jeff Bezos the idea that Amazon could use deep learning to revamp the way recommendations work.
Thirumalai was only one department leader who included AI in his visionary proposal to Bezos. The revolution came, he told Wired, when leaders in isolated pockets of AI came together to discuss the possibilities and ultimately begin collaborating across projects. As Thirumalai told Wired:
We would talk, we would have conversations, but we wouldn’t share a lot of artifacts with each other because the lessons were not easily or directly transferable.
What followed was a revolutionary AI-centric management strategy that has baked artificial intelligence into Alexa, Amazon Web Services and almost every other facet of the $1 trillion company. Amazon takes a “flywheel” approach to AI.
Modeled after the simple tool that stores rotational energy, Amazon’s AI flywheel enables teams to build off of AI applications developed elsewhere in the organization. It’s an entirely collaborative approach that has proven a revenue generator, as well, by offering select tools to third-party companies.
That collaboration — the shift from competing for the budget for AI to working across departments — has paid huge dividends for Amazon. What could it do for your brand?
Solving persistent challenges
In 2018, CMOs have had access to more third-party AI-powered tool options than they can shake a stick at. Our firm found in recent research that more than 50 percent of marketers simply expect marketing technology providers to have native AI capabilities and consider it important or a must-have.
CIOs have been slower on the draw. Gartner’s 2018 CIO Agenda Survey found that just 4 percent of CIOs have already implemented AI in the corporate realm. However, 46 percent plan to do so in the near future. This doesn’t mean IT is being left behind. After all, the best use of AI isn’t about providing tools; it’s the catalyst in massive organizational change and even creating a new type of organization.
In the Texas A&M University System, for example, Cyber Security Intelligence reports that AI has been put to work in IT enhancing cybersecurity via Artemis, an intelligent assistant from Endgame.
“We monitor the networks for 11 universities and 7 state agencies,” said Barbara Gallaway, a security analyst at Texas A&M University System, told the publication.
Using an AI application that enables her staff to ask simple questions has helped train them in their jobs as a side benefit, she reportedly said. Her team now includes eight part-time student workers who don’t need extensive experience in dealing with security incidents in addition to nine full-time IT staff.
AI-powered products and services are helping IT teams improve productivity and effectiveness through logs analysis, employee support, enhanced cybersecurity, deep learning, natural-language processing and more. CIOs have the opportunity to transform IT from cost center to organizational trailblazer with AI.
However, as we’ve seen with Amazon, the real magic happens when CMOs, CIOs and other company leaders work together to facilitate collaborative workflows and enhanced customer experiences through AI.
Analysis of data is already a key AI focus for businesses, with on-site personalization the second most commonly cited use case for AI. Working across departments and projects, teams are discovering new and unexpected use cases for AI in their organizations.
For example, Mike Orr, IT director of digital transformation at Murphy Oil, shared the following story with CIO.com. Murphy Oil turned to an AI-powered system from Turbonomic to make recommendations about how to optimize their infrastructure while moving it from traditional on-premises and colocation to cloud and SaaS models. Once the company grew comfortable with the system, they began to trust it to perform placement and sizing automatically. Prior to the move, Orr had 4 1/2 full-time equivalents working on nothing but tickets. “Now it’s one-tenth of an FTE [full-time employee],” he says.
This is something we’re going to see more and more; in fact, Gartner predicts that while 1.8 million jobs will be eliminated due to AI by 2020, 2.3 million more jobs will be created in their place. Rather than the robots “stealing our jobs,” the impact of AI technologies on business is projected to increase labor productivity by up to 40 percent and enable people to make more efficient use of their time.
So, how can CIOs and CMOs work together?
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As the worldwide volume of data continues to grow at some 40 percent per year, the CIO and CMO need to work closely and collaborate early on new initiatives. IT is a critical strategic partner for marketing and should be involved and consulted from conception and through all stages of planning.
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Constantly connected consumers are generating a wealth of data for marketing — so much that most teams struggle to uncover the actionable insights that drive smarter, more informed campaigns. Who better than IT to assist? In addition to their information architecture and analysis prowess, IT is also in a position to share relevant insights with other departments as well. CMOs and CIOs must each take steps to come closer together. For CMOs, this means mastering not only the art of creativity and strategy but also the science of analytics. CIOs need to shift from a mindset of control and prevention to that of a facilitator and enabler.
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The CIO is in a position to execute massive organizational change, while the CMO can be critical in selling it internally, to the rest of the C-suite and right on down to individual team members.
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The CMO must be able to articulate and clearly define business goals for the CIO to evaluate and cost out. This is a give-and-take relationship that may require some negotiation but is sure to result in more purposeful tracking, measurement, and analysis.
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Each must demonstrate a willingness to communicate on the level; to adopt a common vernacular and clear set of expectations of one another.
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Both the CIO and CMO must enable and support integrated teams. This means not only giving employees the time and space to work together, but also giving recognition and sharing results out to the company when these partnerships result in innovative, successful uses of AI within the organization.
It all sounds great in theory, doesn’t it? In reality, changing up the complexities of traditional organizational hierarchy and deep-seeded business practice has proven incredibly challenging. Industry recommendations suggest CIOs and CMOs ensure they have these five prerequisites in place (with the CEO’s explicit support) as the foundation on which to build this relationship:
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Be clear on decision governance.
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Build the right teams.
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Provide transparency.
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Hire IT and marketing translators.
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Learn to drive before you fly.
In the age where the growth of big data brings complexity, with a universe of AI-powered possibility spread out before us, marketing and IT simply do better together.
ABOUT THE AUTHOR
Jim Yu is the founder and CEO of BrightEdge, the leading enterprise content performance, and SEO Platform. He combines in-depth expertise in developing and marketing large on-demand software platforms with hands-on experience in advanced digital, content and SEO practices
Credit Source: MarTech Today
Published on September 19, 2018, at 2:42 pm
Put AI to work in the Oil & Gas industry – Meet Watson
Humans have five senses, yet none of them can understand unstructured information. Watson helps the oil & gas industry surpass human limits and enables the kind of decision making that keeps operations running at full speed. Find out more at https://www.ibm.com/industries/oil-ga…
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BP deploys Plant Operations Advisor on Gulf of Mexico platforms
Advanced analytics solution, developed with BHGE, will be installed on BP’s upstream assets around the world
HOUSTON – BP announced today that it has successfully deployed Plant Operations Advisor (POA), a cloud-based advanced analytics solution developed with Baker Hughes, a GE company, across all four of its operated production platforms in the deepwater Gulf of Mexico.
The announcement comes after an initial deployment of POA proved the technology could help prevent unplanned downtime at BP’s Atlantis platform in the Gulf.
The technology has now been successfully installed and tested at BP’s Thunder Horse, Na Kika, and Mad Dog platforms – and it will continue to be deployed to more than 30 of BP’s upstream assets across the globe.
“BP has been one of the pioneers in digital technology in our industry, and co-development of Plant Operations Advisor with BHGE is a key plank of modernizing and transforming our upstream operations,” said Ahmed Hashmi, BP’s global head of upstream technology. “We expect the deployment of this technology not only to deliver improvements in safety, reliability, and performance of our assets but also to help raise the bar for the entire oil and gas industry.”
Built on GE’s Predix platform, POA applies analytics to real-time data from the production system and provides system-level insights to engineers so operational issues on processes and equipment can be addressed before they become significant. POA helps engineers manage the performance of BP’s offshore assets by further ensuring that assets operate within safe operating limits to reduce unplanned downtime.
“BP has been one of the pioneers in digital technology in our industry, and co-development of Plant Operations Advisor with BHGE is a key plank of modernizing and transforming our upstream operations.”
Ahmed Hashmi, BP’s global head of upstream technology
Now live across the Gulf of Mexico, POA works across more than 1,200 mission-critical pieces of equipment, analyzing more than 155 million data points per day and delivering insights on performance and maintenance. There are plans to continue augmenting the analytical capabilities in the system as POA is expanded to BP’s upstream assets around the globe.
BP and BHGE announced a partnership in 2016 to develop POA, an industry-wide solution for improved plant reliability. The teams have built a suite of cloud-based Industrial ‘internet of things’ (IoT) solutions that have been tailor-fit for BP’s oil and gas operations.
“The partnership between BP and BHGE has resulted in a unique set of capabilities that quickly find valuable insights in streams of operational data,” said Matthias Heilmann, president, and CEO of Digital Solutions and chief digital officer for Baker Hughes, a GE company. “Together, we are creating leading-edge technologies to automate processes and increase the safety and reliability of BP’s upstream assets. As we extend the solution globally, this will become the largest upstream Industrial IoT deployment in the world when complete.”
BP is currently in the process of deploying POA to its operations in Angola with additional deployments in Oman and the North Sea scheduled for 2019.
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About BP
BP is a global producer of oil and gas with operations in over 70 countries. BP has a larger economic footprint in the U.S. than in any other nation, and it has invested more than $100 billion here since 2005. BP employs about 14,000 people across the U.S. and supports more than 106,000 additional jobs through all its business activities. For more information on BP in America, visit www.bp.com/us.
About Baker Hughes, a GE company
Baker Hughes, a GE company (NYSE: BHGE) is the world’s first and only full stream provider of integrated oilfield products, services, and digital solutions. We deploy minds and machines to enhance customer productivity, safety, and environmental stewardship while minimizing costs and risks at every step of the energy value chain. With operations in over 120 countries, we infuse over a century of experience with the spirit of a startup – inventing smarter ways to bring energy to the world.
Further Information
Name: BP U.S. Media Affairs
Email: [email protected]
Name: Ashley Nelson
Phone: +1 925 316-9197
Email: [email protected]
Name: Gavin Roberts
Phone: +44 7775547365
Email: [email protected]
Artificial Intelligence, Automation, Data, Employment, Executive Brief, Featured 1, POLITICS & LEGAL
While politicians court Google and Uber, fracking industry offers a different sort of high-tech job
CANNONSBURG, Pa. — If there is mud on the floor, they say in the shale industry, that means cash is coming in the door. That is, when workers are out in the field and the boots are getting dirty, money is being made.
Thanks to an infusion of high technology driving the natural gas industry, it’s not just about dirty boots anymore – and it’s a good story. It’s a marriage of advanced technologies and dirt-under-your-nails hard work rarely told, because extracting shale is not a popular business politically.
Fracking, it turns out, is the one high-tech industry not embraced by politicians in Pittsburgh who are rushing to embrace the likes of Uber and Google. Why? Because local progressive Democrats, very vocal climate activists, and the burgeoning Democratic Socialists of America party demand a wholesale repudiation of the natural gas industry. Local Democratic officials thus have to oppose fracking or risk losing in a Democratic primary.
