Multiple-Source Data Provide Insight Into Hydraulic Fracture Geometries
The complete paper demonstrates the benefits of honoring data measurements from a multitude of potential sources to help engineers do a better job of including more diagnostics into routine operations to provide additional insight and result in improved models and completion designs.
Heavy-Oil Steamflood Validates Machine-Learning-Assisted Model
This paper updates a previous case study and presents the results of actual implementation of an optimized steam-injection plan based on the model framework.
Imagine Fracture Modeling Based on Actual Fractures
By measuring which tests best predicted the fractures observed at the Hydraulic Fracturing Test Site, Laredo Petroleum developed a method it hopes will improve fracture modeling in other places.
Multireservoir, Multinetwork Production Optimization of an Omani Reservoir
In the complete paper, a new, fully coupled implicit tool was used to model an onshore Omani asset with multiple reservoirs, each featuring different fluids and multiple networks.
Catalog of Well-Test Responses in a Fluvial Reservoir System
The complete paper aims at a better understanding of the effect of channel content in complex fluvial channel systems on well-test-derivative responses.
Oil and Gas Producers Find Frac Hits in Shale Wells a Major Challenge
In North America’s most active shale fields, the drilling and hydraulic fracturing of new wells is directly placing older adjacent wells at risk of suffering a premature decline in oil and gas production.
Digital Image Correlation: A New Way To Look at Hydraulic Fracturing
Technology that allows researchers to see stress forming inside rock samples may help unravel some of the mysteries associated with fracture behavior.
Tapping Difficult Oil in a Giant Carbonate Field in Qatar
After 70 years of production, more than 30% of the Arab C reservoir stock-tank original oil in place has been recovered through various mechanisms including natural depletion, waterflooding, gas lift implementation, and horizontal-well development.
Online Digital Rock Portal Launches
In an effort to foster collaboration in an area where there is currently very little, researchers at the University of Texas at Austin (UT) created a new web-based application for storing and sharing CT images of rocks.
Enhancing Well-Work Efficiency With Data Mining and Predictive Analytics
Failure to prioritize objectives and improper selection of candidate wells can have significant implications for both derived value and potential risk.
Scaling Up a 900-Million-Cell Static Model to a Dynamic Model
This paper discusses scaling up the high-resolution geological model and specific problems encountered by the study team in the Greater Burgan field.
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09 October 2020
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