TOPICS OF INTEREST
DATA AND INFORMATION MANAGEMENT
Using a Digital Twin in Predictive Maintenance
Often it is too difficult to create the fault conditions necessary for training a predictive maintenance algorithm on the actual machine. A digital twin generates simulated failure data which can then be used to design a fault-detection algorithm.
Cybersecurity: Preventing Infection in a Body of Data
The oil and gas industry is increasingly characterized by complex connectivity, but our digital dependency brings a new realm of cyber risks. Are we cyber-ready?
Online Technology Platform To Support UK Energy Transition
The goal of the platform is to connect technologies to operators, developers, and end users in the UK oil, gas, and renewable energy sectors and be the catalyst for rapid technology deployment.
AI Meets HMI: Next-Gen Robots Take on the Tough Tasks To Reduce Risks on Rigs
With their gee-whiz—albeit artificial—intelligence, robots may be the industry’s answer to jobs deemed dangerous, dirty, distant, or dull.
As Renewables Grow, Oil Continues To Dominate Share of Energy Mix
World energy is at a “pivotal moment,” says BP CEO in annual statistical review, which reveals contrasts, challenges in energy consumption, production, and emissions.
ConocoPhillips CTO: The Shale Revolution Will Be Digitized
Greg Leveille said he is optimistic that the shale sector will be able to bounce back from its second downturn in 5 years. The trick this time, he says, will be not just investing in new digital technologies but putting them to work.
Emerson To Contribute Software and Expertise to the Open Subsurface Data Universe Forum
The Open Group OSDU Forum aims to create a standard data platform on which members work collaboratively to enable secure, reliable, global access to all subsurface and well data.
Google Says No More AI or Machine Learning for Upstream Industry
The Internet giant is walking away from the exploraiton and production business following a report that claimed it was undermining its own climate initiatives by offering its machine-learning tools.
ADNOC’s New CTO Shares Innovation Philosophy
Alan Nelson is not only the new chief technology officer at ADNOC, he is the company’s first person to hold the title at the integrated oil company.
Exploring ADNOC's Digital Future With Its First CTO
Hear first-hand from the first-ever Cheif Technology Officer at the Abu Dhabi National Oil Company, Alan Nelson, about the integrated operator's digital transformation strategy.
SPE Discounts OnePetro Papers, Offers Support for Learning and Job Transitions
As SPE members deal with challenging and uncertain times, they are reminded that there are a number of programs available to provide support and key resources. Read more to see which ones are useful to you and your career.
Prescriptive Analytics Aids Completion Optimization in Unconventionals
This paper discusses a prescriptive analytics framework to optimize completions in the Permian Basin.
Upstream Digitalization Is Proving Itself in the Real World
For the upstream industry, where improvement in efficiency or production can drive significant financial results, there is no question that the size of the digital prize is huge. So are the challenges.
A Drilling Automation Idea a Driller Could Appreciate
A group of people who really care how drillers code the memos added to the daily drilling report is the data scientists—who find that the coded tags do not match the activity. A program that helps drillers code is one of three technologies featured in a JPT series on drilling measurement innovation.
Production-Logging Technologies Enhance Inflow Profiling in Deepwater Gulf of Mexico
This paper discusses the effectiveness of third-generation (Gen3) production-logging-tool (PLT) technology, which uses co-located digital sensors for simultaneous acquisition of flow data to provide the most accurate characterization of the flow condition at each depth surveyed.
Enverus Acquires RS Energy Group and Q Engineering
The provider of subscription-based analytics services for the North American oil and gas sector continues its streak of purchasing data-focused firms.
Semantic Framework Aligns Real-Time Drilling-Management and Control Applications
The complete paper presents a drilling semantic framework that allows software solutions to achieve automatic and versatile self-configuration.
Intelligent Drilling Advisory System Optimizes Performance
In the current work, a rig advisory system is developed to continually improve rate of penetration (ROP) and drilling performance. An intelligent drilling advisory system (IDAS), based on a soft closed-loop solution with multiple regression analysis has been established.
Artificial-Intelligence-Driven Timelines Help Optimize Well Life Cycle
This paper discusses how oil and gas companies are using a new generation of AI-driven applications powered by computational-knowledge graphs and AI algorithms to create a digital knowledge layer for oil and gas wells that provides a timeline of significant well events.
Real-Time Data From Wired Drillpipe Leads to Improvement in Drilling Performance
This paper shows how high-frequency, real-time drilling data from wired drillpipe has helped optimization of drilling performance and achievement of additional improvements in the New Mexico Delaware Basin.
Addressing Challenges in Rig-Based Drilling Advisory System Deployment
The complete paper presents a process used to successfully implement a rig-based drilling advisory system (RDAS) across a mixed group of rig contractors.
Real-Time Measurements Improve Managed-Pressure Operations in HP/HT North Sea Well
This paper describes how new technology was implemented and deployed through a downhole acoustic network through a sequence of runs in complex North Sea wells under managed-pressure conditions.
Digital Startups Raise Hundreds of Millions To Modernize Upstream Sector
Producers and investors continue to reward small companies with big solutions that lean on new software and hardware to lift the bottom line of one the world’s few trillion-dollar industries.
Shale Producer Partners with Analytics Firm To Stop Overbilling and Fraud
Concho Resources and Enverus say turning to automated software for tracking invoices could save the upstream business many millions of dollars.
Data-Acquisition Optimization Maximizes Value of Mature Oil-Rim Reservoirs
The XamXung field offshore Sarawak, Malaysia, is a 47-year brownfield with thin remaining oil rims that have made field management challenging. The dynamic oil-rim movement has been a key subsurface uncertainty, particularly with the commencing of a redevelopment project.
Artificial Intelligence Transforms Offshore Analog Fields Into Digital Fields
This paper details how artificial intelligence was used to capture analog field-gauge data with a dramatic reduction of cost and an increase in reliability.
Field Trial of Cloud-Connected Wireless Completion System
This paper describes the development and field trials of a cloud-connected, wireless intelligent completion system that enables long-term monitoring and interval control to enhance production management by connecting the user wirelessly from the desktop to downhole inflow-control valves.
Remote Sensing Imagery Improves Safety and Logistics of Arctic Operations
Many forms of remote sensing imagery can be used, along with data sets and the resultant products, to improve the efficiency and safety of upstream oil and gas operations on the North Slope of Alaska.
Digital Data Acquisition
Welcome to the debut of the 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.
Value of ROV Data Extends to Decommissioning Strategy
The complete paper describes the potential global scientific value of video and other data collected by ROVs.
BHA Behavior-Prediction Model Offers Potential for Automated Analysis
A new 3D drillstring model determines the static and dynamic behavior of bottomhole assemblies (BHAs) in realistic wellbores.
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.
Pemex Suffers Cyberattack, Hackers Demand Ransom of Nearly $5 Million
The ransomware attack that began over the weekend is reportedly still affecting the national oil company’s payment systems, which may have wider impacts on its supply chain. For now, the company says its upstream and downstream operations are running normally.
Software System Enables Effective Flow-Assurance Management
This paper describes a smart management system used for retrieving and evaluating all flow-assurance-related data for more than 700 of the operator’s onshore and offshore wells.
SPE Talks To: Nathan Meehan
Is this the end of petroleum engineering as we know it? 2016 SPE President Nathan Meehan dives into the question on the new SPE Podcast.
Total To Open “Digital Factory” in Paris
To launch in early 2020, the facility will bring together up to 300 developers, data scientists, architects, and other specialists.
Data-Driven Analytics Provide Novel Approach to Performance Diagnosis
This work describes a heuristic approach combining mathematical modeling and associated data-driven work flows for estimating reservoir-pressure surfaces through space and time using measured data.
Artificial Intelligence Improves Seismic-Image Reconstruction
Seismic imaging provides vital tools for the exploration of potential hydrocarbon reserves and subsequent production-planning activities. The acquisition of high-resolution, regularly sampled seismic data may be hindered by physical or financial constraints.
Data-Driven Tool Uses Amplitude-Based Statistics To Identify Seismic Fractures
The authors present a novel data-driven tool for fast fracture identification in post-stack seismic data sets.
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.
As Oil and Gas Data Multiply, so Do the Cybersecurity Threats
Saudi Aramco, BP, and Schlumberger pride themselves on staying at the forefront of digital technology development and deployment. But an equally daunting challenge for the industry heavyweights is keeping their ever-expanding digital systems secure.
Summer of Funding: These Oil and Gas Startups Raised More Than $70 Million
Technology startups are breathing new life into an old industry with advanced software and emerging chemistry solutions. Learn about some of the names earning the most attention from the industry's venture capital groups.
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.
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.
Equinor Picks 10 New Startups for Accelerator Program
Digital technologies serve as a primary theme of this year’s group, with a few environmentally conscious firms included in the mix.
Anadarko’s Digital Legacy Offers a Template for Others
The large independent put together a team of data scientists, software developers, and petrotechnical staff to create a forward-looking vision for how to use digital technology to solve problems.
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.
Data Mining of Hidden Danger in Operational Production
The value of hidden-danger data stored in text can be revealed through an approach that can help sort and interpret information in an ordered way not used previously in safety management.
Data-Driven Management Strategy Can Reduce Environmental Effect of Production Plants
This paper highlights the results of a test campaign for a tool designed to predict the short-term trends of energy-efficiency indices and optimal management of a production plant.
Analytics Firm: Permian Fracturing Work Underreported by 21% in 2018
Findings from Kayrros suggest the average Permian well is both less productive and more expensive than reflected in public data.
Permian Basin Frac Hit Notification System Under New Management
First developed as a proprietary system by a large Permian Basin operator, this hydraulic fracturing schedule exchange will be run by a data company and opened up to the entire North American shale sector.
Baker Hughes Adds an AI Option
Baker Hughes is still a GE company, but it has partnered with a second company for artificial intelligence expertise, C3.ai. The deal is expected to speed the integration of AI into oilfield operations by the company which also markets GE’s device analytics platform, Predix.
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.
Surface Drilling Data Can Help Optimize Fracture Treatment in Real Time
This paper presents a unique work flow that addresses in real time the challenges of perforation and fracture-treatment design while accounting for the lithologic and stress variability along the wellbore and its surroundings.
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.
Digital Transformation Increases Value in an Omani Thermal EOR Asset
A thermal asset in Oman is characterized by a large-scale steam-drive/cyclic-steam-soak development project, underpinned by extensive data gathering.
Industry Dives into UK’s New Oil and Gas Data Hub
Some 3,000 people and counting intrigued by UK oil and gas data have signed up for access to the country’s new National Data Repository. What motivated the OGA to make the data available to the public, and what can the public do with the data?
Digital Transformation at BP is Starting to Add Up to Billions
Analytics, sensors, and robots are changing the way one of the world’s largest oil and gas companies does business. Underpinning all the new technology though is a shift in how BP thinks, and what it means to be a supermajor in the 21st century.
OTC Event Selects 10 Startups Worth Watching
The results are in. Here are this year’s “Most Promising” startups as decided by upstream investors and oil company innovation teams
Real-Time Analytics Improves Process Safety in a Drilling-Contractor Operations Center
This paper explains how an ultradeepwater drilling contractor is applying real-time analytics and machine learning to leverage its real-time operations center to improve process safety and performance.
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.
Machine Learning Optimizes Duvernay Shale-Well Performance
This paper discusses how machine learning by use of multiple linear regression and a neural network was used to optimize completions and well designs in the Duvernay shale.
Ghawar vs. Permian Basin: Is There Even a Comparison?
While some try to put the two enormous oil producers toe-to-toe, the best thing to do might be to understand why they are different.
Three Big Numbers Shaping the Global Crude Picture
Take a quick look at some of the data points shaping upstream headlines and the movement of oil supplies around the world.
Souped-Up Search Engines Wrangle Drilling, Completions Data
Fed by big data loads from big operators, a university consortium and software firm are each working to make upstream data access as quick and easy as a Google search.
Integrating Geomechanical Data Optimizes Completions Design
This paper demonstrates how engineers can take advantage of their most-detailed completions and geomechanical data by identifying trends arising from past detailed treatment analyses.
UK Releases 130 Terabytes of Oil and Gas Data
Data from the UK Oil and Gas Authority’s new data repository cover 12,500 offshore wellbores, 5,000 seismic surveys, and 3,000 pipelines.
Is the Cloud Mature Enough for High-Performance Computing?
Data volumes are growing at an exponential rate. How can high-performance computing solutions help operators manage these volumes? Will faster, stronger processors and cloud computing solutions be the answer?
Chesapeake Teams With Analytics Firm To Improve Asset Performance
The Oklahoma City independent has a new-look portfolio and new operational and financial priorities. And now it has enlisted an energy research firm to leverage advanced analytics and machine learning to help get the most out of its assets.
To Solve Frac Hits, Unconventional Engineering Must Revolve Around Them
The struggle to overcome the challenge of frac hits has led to a critical dialogue about which pathway the shale sector should take. One idea is to simply put the problem at the center of every major decision.
The Oil and Gas Chat Bots Are Coming
The technology is being proven in millions of phones and homes across the world. Now, a small group of software startups wants to introduce chat bot technology to oil and gas professionals.
Equinor Opens Digital Support Centers in Bid to Create $2 Billion in Value
Two new centers in Bergen, Norway will lean on emerging digital technology to oversee much of the Norwegian operator’s offshore operations.
Predictive-Maintenance Approach Uses Machine Learning To Increase Efficiency
This paper focuses on compressor systems associated with major production deferments. An advanced machine-learning approach is presented for determining anomalous behavior to predict a potential trip and probable root cause with sufficient warning to allow for intervention.
Fighting Water With Water: How Engineers Are Turning the Tides on Frac Hits
If the shale sector’s most complex problem can be solved, it will require companies to use their wells as a team. Newly detailed field work shows that a good defense is the key to success.
Stochastic Work Flow Bridges Gap Between Subsurface and Surface Disciplines
This paper presents an unbiased stochastic data-driven work flow in which surface and subsurface uncertainties are accounted for and their effects on facilities design and operational decisions are quantified.
Shell Picks a Digital Platform To Build Its AI Future Upon
The international major has been playing with intelligent programs for years, but this new deal shows that it is now ready to scale those efforts up to cover hundreds of thousands of pieces of equipment.
Seeq’s Focus on Time-Series Data Draws in Chevron, Shell, and Pioneer
The 5-year-old software startup is getting noticed by the oil and gas industry for its ability to accelerate analytics projects by taking care of all the tedious work involved with data wrangling.
Face-Detection Algorithm Handles Big Data To Help Identify Candidates for Restimulation
This paper demonstrates the viability of a production-data-classification approach adapted from real-time face detection for identifying restimulation candidates.
BP and Startup Beyond Limits Try To Prove That Cognitive AI Is Ready for Oil and Gas
BP has invested more than $100 million into nine different startup companies in the past 2 years—but only one of them wants to turn your brain into a piece of its software.
Simulation Algorithm Benefits by Connecting Geostatistics With Unsupervised Learning
A new geostatistics modeling methodology that connects geostatistics and machine-learning methodologies, uses nonlinear topological mapping to reduce the original high-dimensional data space, and uses unsupervised-learning algorithms to bypass problems with supervised-learning algorithms.
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23 July 2020
04 August 2020