TOPICS OF INTEREST
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.
BP, Chevron Bring Two More Offshore Projects on Stream
Majors BP and Chevron have overcome development challenges and delays to launch their respective Clair Ridge and Big Foot projects.
Can Machine Learning Mitigate Frac Hits?
BHGE is developing an analytics and machine-learning approach that offers descriptive and predictive insights on frac hits, with the aim of eventually offering a real-time monitoring capability to be deployed during frac jobs.
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.
In the Battle Against Frac Hits, Shale Producers Go to New Extremes
The rise of cube developments in the Permian Basin has introduced a new way of thinking for some of the region’s biggest players.
Shale Output Redefining US Production
US oil production is getting lighter and gas production is spreading as unconventional formations feed export growth.
Need for Reserves Replacement Drives Exploration Investment
Despite an abundance of discovered resources, most companies are still running at unsustainable reserves replacement levels, necessitating further investment in exploration of conventional and unconventional reservoirs.
Shale EOR Works, But Will It Make a Difference?
The promise of getting 30% more oil production from shale wells has set off a race by companies trying to see if they can replicate what EOG has done. But the big question is: Can it add enough oil to increase the industry’s low average recovery rate?
Unconventional Resources: Will Shale Oil Ever Make Money? Quite Possibly Next Decade
This well-established oilfield consultancy explains why 2020 might be a big year for the unconventional sector.
Look out World, The US Is Again a Gas-Exporting Country
The US is emerging as a gas-exporting nation, and that is going to mean big changes globally.
Fieldwide Determination of Directional Permeabilities Through Transient Well Testing
Knowledge of the maximum- and minimum-permeability directions in anisotropic reservoirs helps to optimize injector and producer locations and is important for reservoir management, especially under secondary or enhanced recovery of hydrocarbons.
New Permian Oil Play Requires Pumping and Persistence
A new play in the Permian Basin is unconventional in an unexpected way: there is a small group of independents producing from a watery formation where oil production begins after they have pumped only water for weeks.
Integrated Asset Modeling: An Approach to Long-Term Production Planning
With declining trends in production and dwindling reserves for a 35-year-old offshore field, the Samarang Redevelopment Project was initiated with a vision toward implementing integrated operations as an asset-management decision-support tool.
Reservoir Performance and Monitoring
The current reservoir-performance-monitoring technologies are being improved continuously for better reservoir understanding, more-accurate short- and long-term production forecasting, and lower overall operational costs.
Marcellus Wells: Ultimate Production Accurately Predicted From Initial Production
In this work, the authors perform automatic decline analysis on Marcellus Shale gas wells and predict ultimate recovery for each well.
A Full-Field Interwell Tracer Program on a Giant Carbonate Oil Field
This paper reviews the design and implementation of a full-field interwell tracer program for a giant onshore oil field in Abu Dhabi.
SAGD and Fiber-Optic Distributed Acoustic and Temperature Sensing
Distributed temperature sensing (DTS) is the most common fiber-optic measurement used for steam-assisted-gravity-drainage reservoir monitoring.
Young Technology Showcase—Top-Down Modeling: A Shift in Building Full-Field Models for Mature Fields
Data-driven, or top-down, modeling uses machine learning and data mining to develop reservoir models based on measurements, rather than solutions of governing equations.
SPE Technical Directors Think Cooperatively: Working Outside the Lines
SPE’s technical directors are focused on problems that require working outside the bounds of their discipline.
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