Reservoir
This study demonstrates how routinely acquired downhole temperature data allows for direct estimation of fluid saturations and delivers more accurate reservoir volume assessments, particularly in aquifer-supported systems.
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The deal adds over 1,000 potential drilling locations and almost doubles oil production for Houston-based Magnolia.
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Approximately 5% of world annual gas production is being flared or vented. This is equivalent to approximately 110–140 billion m3 (Bcm) of gas, and equates to the combined gas consumption of Central and South America in 2013.
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For the past 2 decades, the use of DNA sequencing technology has largely been relegated to the domains of criminal forensics and the healthcare industry. One company is betting that the shale industry soon will join that list.
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A company known for being a pioneer in methods built on imaging ultratight rock at the core level has built a business testing drilling cuttings to help identify productive, fracturable rock to help operators design better completions.
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The force required to drill through a rock is a direct test of its strength and stiffness. Developing a reliable measure of the properties of rock based on the force required to drill a long lateral is a large challenge.
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One of the biggest ways to lower the cost of production from shale would be to identify zones that are productive, or not, before fracturing them.
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Industry regulators in Oklahoma have rolled out broad new restrictions on more than 600 disposal wells as part of the largest action of its kind taken in response to earthquakes.
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With the recent drop in oil prices, operators are shifting to optimization of existing assets with minimal costs. For mature floods (water, chemical, and CO2), one low-cost optimization strategy is the intelligent adjustment of well-rate targets.
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Permanent downhole gauges (PDGs) can provide a continuous record of flow rate and pressure, which provides extensive information about the reservoir. In this work, a machine-learning framework based on PDG data was extended to two applications: multiwell testing and flow-rate reconstruction.
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The authors present a geology-driven deep-learning estimated-ultimate-recovery (EUR)-prediction model for multistage hydraulically fractured horizontal wells in tight gas and oil reservoirs.
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In this paper, the authors introduce a novel semianalytic approach to compute the sensitivity of the bottomhole pressure (BHP) data with respect to gridblock properties.