New Series Tackles Petroleum Data Analytics From the Subsurface up
SPE is planning a series on petroleum data analytics at its Houston Training Center. The series will kick off with Week One: Subsurface Analytics on 24–28 February and will be led by University of West Virginia Professor of Petroleum and Natural Gas Engineering Shahab Mohaghegh.
Energy Companies Well Suited To Adapt to Industry 4.0
Industry 4.0, the latest industrial revolution, has hit the manufacturing sector, building upon the adoption of computers and automation into industrial processes. How well suited is the oil and gas industry to leverage the new autonomous systems that could emerge from this transformation?
JPT Launches Digital Data Acquisition Feature
The new feature comes from the desire of readers and reviewers to broaden the scope of JPT’s coverage of developments related to digital transformation and the applications that the industry can derive from these exciting possibilities.
SPE Technical Directors’ Outlook: Tearing Down the Walls Among Disciplines
Merging new knowledge and technological capabilities among the disciplines—and beyond—will be crucial to sustaining the industry for the long term.
The Difference Between Engineering and Nonengineering Problem-Solving Using AI and ML
Major differences exist between engineering- and nonengineering-related problems. This fact results in major differences between engineering and nonengineering applications of artificial intelligence and machine learning.
Shell’s Well Pad of the Future Is Open for Business
The international major is calling its latest multiwell project in the Permian Basin a “beacon of innovation.” The goal is to see if combining digital technologies will lower the operating costs of its shale assets.
New Innovations Enable Autonomous Pipeline Inspections
As companies look to reduce the time it takes to inspect a subsea pipeline, as well as the costs involved in the operation, autonomous systems have become a more desirable option. How close are they to becoming the norm?
Technical Report on Data Analytics in Reservoir Engineering Open for Comments
The report focuses on the effect of data analytics on reservoir engineering applications, more specifically the ability to characterize reservoir parameters, analyze and model reservoir behavior, and forecast performance to transform the decision-making process.
2019: Thoughts on the Key Themes in Oil and Gas Data Management
As this year comes to a close, it has been defined by some big themes in oil and gas data management: innovation, collaboration, governance, stuck proofs of concept, trendy tech, and oil shaming.
Company Bets Bitcoin Mining Can Ease Flaring
A Denver-based company has been installing data centers at shale drilling sites to take advantage of excess natural gas. Now, according to a new Bloomberg report, that company hopes to harness some of that gas to power data centers for Bitcoin mining.
Where Are Data and Data Management Headed?
Unless we work together to resolve the underlying causes of data problems, we will continue to struggle with the time and effort needed to get the foundations of data preparedness sorted out. That means that industry must accept that data is strategic rather than tactical.
Digital Twins Mature in the North Sea
A proving ground for the use of digital twins has emerged in the North Sea. There, operators Total, Aker BP, and Shell have each developed and deployed twins that they expect to pay big dividends.
Industry Thrives on Data but Struggles To Quantify Its Value
Data undoubtedly has value, agreed participants at a recent symposium held by the Professional Petroleum Data Management Association in Denver. Quantifying that value—and communicating that value to decision-makers in a company—however, is tricky if not impossible.
The Digital Transformation: Great Risk or Greater Opportunity?
The digital transformation is a risky proposition for oil and gas companies adapting to a rapidly changing business environment, but a failure to adapt could spell trouble for the industry.
New Issues of Peer-Reviewed Journals Spotlight Machine Learning, Data Analytics
The November issues of SPE’s peer-reviewed journals SPE Reservoir Evaluation & Engineering and SPE Production & Operations include papers addressing data analytics and machine learning.
Traditional Statistics vs. Artificial Intelligence and Machine Learning
Just because they both deal with data does not mean they are the same.
Will Faster Robots Improve Subsea Pipeline Inspections?
Sensors, robots, and artificial intelligence have made their way into a number of areas within the industry, including pipeline inspections. Shell has begun to examine the innovative technologies that could shift the inspection paradigm.
Companies See Stronger Cybersecurity With Cooperative Networks
Most companies have known for a while that they benefit when the parties that manage their networks cooperate. Beyond benefiting the business, however, this cooperation of open communication between the different sectors can help the people tasked to manage the security of those networks.
Data Historian and Trending Tool Transforms Company Operations
In 2018, Murphy Oil launched an initiative to open-source all internal live streaming data to its engineers. The process led it to implement a global data historian and a corresponding visualization tool. The insights provided are shaping the future of operations at the company.
The ABCs of Digital Transformation Terminology for Oil and Gas
A slew of data science jargon is flooding the industry, and one impediment to the digital transformation is confusion over associated terminology. The Society of Petroleum Engineers is beginning to make a concerted effort to help demystify the buzzwords, and this article kick starts that effort.
Drones Take Off in the Oil Field, but How High Will They Fly?
Unmanned aerial vehicles are creeping up on ubiquity in the oil and gas industry, but their potential still firmly outweighs the actuality. A panel at the 2019 SPE Annual Technical Conference and Exhibition took a close look at the benefits of drones and at the tethers still holding back their use.
The Future Is Now: Implementing the Industrial Internet of Things Into Oil and Gas
The application of the industrial Internet of things within oil and gas promises to revolutionize the oil field by enabling the acquisition and accessibility of far greater amounts of data, especially for tasks that previously have been managed through historically analog documentation and storage.
Digital Transformation Can Lead to Industry Sustainability
Digital transformation supported by data analytics and artificial intelligence can be the differentiator that allows the upstream industry to persist in the next 100 years, providing a unique foundation for innovation to enhance general public awareness and life quality.
How Does the Use of Artificial Intelligence and Machine Learning Differ for Conventional vs. Unconventional Plays?
What is the effect of the reservoir type on the application of AI and ML in reservoir and production modeling?
To Spark Real-Time Revolution, Fracture Diagnostic Firms Partner Up and Innovate
The types of advancements made in real-time drilling data acquisition and processing are now on the doorstep of the North American completions sector. Technology developers are banding together under the umbrella of “coopetition” in a bid to change the way producers fracture tight reservoirs.
Industry Strives To Leave Operations Alone
Remote and integrated operations can make production safer and more efficient. Despite this, the industry has struggled to implement these clearly effective techniques.
How Do Companies Find the Best Strategy for Integrating IoT?
The industrial Internet of Things (IoT) is changing the way the oil and gas industry operates, but are companies leveraging it to its full potential? What strategies are being employed to handle the obstacles to implementation? Finding value in people plays a role in integrating IoT into operations.
BHGE, C3.ai Release Their First AI Application
The artificial-intelligence application BHC3 Reliability provides early warning of production downtime and process risk to improve operational productivity, efficiency, and safety.
Digitized Safety Comes to the North Sea
Serica Energy has become the first operator to digitize safety in the North Sea after signing a deal to adopt the Restrata Platform, a piece of technology that provides real-time monitoring of people and assets.
Chevron, Schlumberger, Microsoft Team To Improve Digital, Petrotechnical Work Flows
The combination of digital technologies will enable Chevron—and, eventually, other companies—to process, visualize, interpret, and glean insights from multiple data sources, the companies said.
Modeling Physics With Artificial Intelligence and Machine Learning
Blending smart-proxy models with data-driven models to create hybrid models is not always the best idea for physics- and engineering-related applications.
Quantum Computing Emerges as a Game Changer
The nascent technology uses a new way to store, process, and measure information in computer systems. It is expected to introduce drastic changes in the development of technology, the discovery of algorithms, and the advancement of computer architectures.
Hurdles to AI Adoption Transcend the Technical
Artificial intelligence tools present many opportunities for the energy industry, and, as technological concepts leave the realm of science fiction, companies have started to grasp what is possible. What roles do culture and ethics play in helping companies understand the digital revolution?
Alliances Drive Upstream Digital Deployment
Partnerships with big tech, tech startups, and innovative service companies—and the merging of their data, cloud, and software applications—are proving essential for operators in the scaling phase of digital deployment. Equinor, Microsoft, and Halliburton are among those joining forces.
Data Management Evolves, But Challenges Persist
This article discusses the role of data management in the context of exploration and production from the 1990s, when building centralized databases was the mainstream, to the end of the second decade of the 2000s.
US Fracturing Test Data Trickling Out With a Lot More Promised
A fracturing test site in West Virginia has quietly made a data trove available on the website of the Marcellus Shale Energy and Environment Lab.
Transforming Petroleum Engineers Into Data Science Wizards
Often, I receive questions from colleagues asking for tips on data science and machine learning as applied to petroleum engineering. This column address some of those questions I have collected. Here is my advice on becoming a petroleum engineer and a data science wizard.
Workshop in Kuwait Lifts the Bar in Digital Transformation for Oil and Gas
To analyze the status of digital transformation strategies and the pace of implementation in the Middle East, an SPE Applied Technology Workshop brought together operating and service companies and consulting firms for a discussion.
Inaugural Conference Pushes Industry Past the Digital Transformation
Digital transformation: It’s a phrase that seems to be on the lips of everyone in the oil and gas industry, and that was certainly true at the inaugural Energy in Data conference held in Austin. The conference, however, showed that the transformation is more than on its way. It’s here.
Machine Learning Helps Pinpoint Events From Fracturing Data
Usually, field engineers manually pick events such as start and end times out of hydraulic-fracturing pumping data. This manual process is time-consuming and prone to error. Now, a Denver-based company is using machine learning to identify these events more accurately and consistently.
Oil and Gas Has a Problem With Unstructured Data
Unlike structured data, unstructured data is information that either does not have predefined labels or is not organized in a predefined template, and inefficient management of this data is holding back the industry.
Digital Transformation: Quest for Operational Efficiency
In recent times, we have been inundated with articles concerning the oil and gas industry’s race toward digitalization and automation. The pillars of such a transformation are the rapidly evolving industrial Internet of things, secure cloud computing, data analytics, AI, and machine learning.
Anadarko Works To Balance Physics With Data Science
Merging tried-and-true physics-based models with data science is bolstering the Houston independent’s reservoir-engineering work on its deepwater and shale assets.
Built on Several New Tools, Marathon’s Digital Oilfield is Maturing
Marathon Oil says its shale fields are producing more oil and gas with less hands-on work from company personnel thanks to a growing arsenal of digital technologies and workflows.
Amazon Becomes a Large Cog in the Industry’s Digital-Transformation Machine
DSDE recently spoke with Bill Vass, vice president of engineering for Amazon Web Services, about his observations on the oil and gas industry’s digital efforts and Amazon’s aggressive growth in the business.
Can Robots Improve Above-Water Riser Inspections?
The criticality of above-water riser hull piping requires frequent inspections. Traditional manual inspection methods present safety and efficiency concerns, but work is being done to see if robotic technologies—such as drones and crawlers—can do the job as good as, or even better than, humans.
How Southeast Asian Upstream Operators Are Digitalizing
Malaysia’s Petronas, Shell Malaysia, and Thailand’s PTTEP are now in the midst of full-scale digital adoption. The companies are beginning to see results, but none is counting on a “big bang” in development of the technology soon.
The Case for Collaboration: Data Science Is Done Best When an Operator Works With a Data Scientist
Studies conducted through collaboration between an operator that knows the physical reality and a data-science company that knows the best machine-learning methods yield good practical results.
Digital Technologies Shake Up the Safety Status Quo
Digitalization and new technologies are disrupting old practices and shaping a new safety landscape for the oil and gas industry. At OTC, a panel sponsored by the Center for Offshore Safety looked at the effects of some of these new technology trends.
Venture Capital Fuels the Digital Deepwater Oil Field
The technologies born out of innovative ideas have been critical for advancing deepwater assets in the past, and venture-capital investment helps incubate risk-taking companies developing those technologies. With digitization becoming a greater focus in industry, what role will venture capital play?
Robots Run Free at OTC
Robots may not be ready to take over the world just yet, but they are making great strides in the offshore industry. A technical session at this year’s Offshore Technology Conference presented some of the advances, including untethered ROVs and subsea broadband communications.
PVT Musings: Why I Started Using Python To Solve Petroleum Engineering Problems
As the oil and gas industry moves more into the machine learning space, Python-conversant petroleum domain specialists will prove to be increasingly valuable to organizations.
Data Is Not Scarce, but Oil Companies Hoard It as if It Were
A growing number of oil industry leaders are saying that data sharing across the industry is needed, but change is coming slowly.
Data Initiative Aims To Get It All Out in the Open
Representatives from ConocoPhillips, Shell, Chevron, and BP came together onstage at the 2019 Professional Petroleum Data Expo in Houston to present the Open Subsurface Data Universe, “an open-source, data-driven, reference architecture for subsurface and well data in a cloud solution.”
Harmonized APIs Help Capture the Value of Data
Application programming interfaces (APIs) are only valuable when they are being used. Harmonizing APIs in the industry would allow for rapid development and rapid scaling of applications or services across companies.
People, Processes, and Technologies: Companies Circle the Wagons for Cybersecurity
Cyberattacks on energy infrastructure have become a headline affair in recent years, and the costs of not addressing the threats they pose can be catastrophic. What are the responses, and how does the convergence of IT and OT help close the security gaps?
An Engineer’s Perspective of Delivering on the Promise of Digitization
We have been the stranded sailor in the sea (of data) for too long. Access to cheaper computing resources and algorithms presents an opportunity to rethink our work flows that were optimized for a different time and age.
Trustworthiness Casts a Shadow Over Data
In the expanding landscape of oilfield data analytics, analysts must trust their data. Some experts say that trust in the data is as important, if not more important, than the data’s accuracy.
Digital Transformation Pushes Companies To Rethink How They Work
With new digital platforms and technologies driving the industry in the near future, organizations are examining the ways in which their established work flows may help or hinder their ability to adopt and adapt.
Oil Companies Must Learn To Share
Like a fast-declining oil well, the value of propriety software is short-lived. Technological advances drive down the value of programs, many of which were never unique.
Data as the New Oil: Parallels and Contrasts
While both are raw resources, data is reusable. A CERAWeek panel said infrastructure and cultural change are needed to drive the transformative value of data.
Collaboration Redefines the Human/Robot Relationship
Robots have been a part of industrial production for decades, but the interface between humans and robots has changed as automation technologies increased in complexity, scope, and scale. Once a novelty, collaborative robots are projected to become a significant element of the automation landscape.
Artificial Intelligence Can Help Optimize HSE Strategy
HSE data is ever growing, especially in high-risk industries. So, how can you apply data science and artificial intelligence to help see beyond current practices and gain even greater insights into safety data?
The Processing Problem: Can Computers Keep Up With Industry Demand?
High-performance computing is an important piece of the puzzle for operators looking to integrate field models with surface facilities. Next-generation processors and accelerators should help build the systems needed to meet industry's growing demands, but the tools may be reaching their limits.
The Ecosystem of Machine Learning Is Much Larger Than Algorithms
The ecosystem in which an algorithm must live in order to deliver value must be viewed as a whole. The algorithm can be viewed like a car’s engine. It’s rather important, but it’s not a car yet.
Digitalization Tops 2019 Industry Investment Survey
Digitalization leads oil and gas research and development investment priorities, according to DNV’s 2019 annual outlook.
Robots Can Make Tank Inspections Safer and Cheaper
The need to optimize tank turnaround schedules is as great as it has ever been within the midstream sector, but traditional human-based tank inspections often cut into uptime while introducing safety risks. New robotic applications aim to alleviate these issues.
Entitlements and Cataloging: The Challenges of Managing Seismic Data
Cataloging data can be a minefield, and not knowing exactly what you can do with the data you have could lead to disaster. What steps should companies take to handle legacy data, and what importance does the tracking of entitlements play in data management systems?
How Are Oil and Gas Firms Approaching Digital Investment, Implementation?
A survey of oil and gas decision-makers by Ernst & Young sheds light on how companies are formulating their digital strategies.
Blockchain Stretches Into the Oil Patch
Blockchain technology may have gotten its start by keeping cryptocurrency traders honest, but its usefulness is expanding. And the oil and gas industry is taking advantage.
Visualization and the Cloud: Enabling Collaborative Environments
Digital solutions that have made their mark in other industries may foster stronger collaborative environments in various sectors within energy, including equipment maintenance and data management.
Finding Meaning, Application for the Much-Discussed Digital Twin
An increasingly buzzy term tossed around at industry events, “digital twin” is leveraging data analytics, machine learning, and artificial intelligence to improve efficiencies from design to decommissioning.
The New World of Data Science and Digital Engineering: the Hype, the Hope, and the Reality
This new publication intends to cover the hype, the hope, and the reality of data science and digital engineering. We want to educate about new emerging digital technologies, but we also want to talk about the other hard issues that are preventing us from moving faster.
The Digital Future of E&P Can Lead to Data-Driven Anxiety
The constant talk about the data-driven future of the oil and gas business poses a threatening question for some petroleum engineers: What do I need to know to ensure I have a job next year?
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