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.
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.
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?
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.
Deep Learning Allows for Near-Real-Time Hydraulic Fracture Event Recognition
Historically, real-time hydraulic fracturing analytics systems rely on manually labeled data. These manual tasks can be affected by human bias and errors of inconsistency and can take days to finish. This paper provides the technical details of developing an automated stagewise KPI-report generator.
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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14 October 2019
07 October 2019