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RISMachine Learning-Based Improved Pressure–Volume–Temperature Correlations for Black Oil Reservoirs
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Pressure–volume–temperature (PVT) properties of crude oil are considered the most important properties in petroleum engineering applications as they are virtually used in every reservoir and production engineering calculation. ...
Statistical Methods to Improve the Quality of Real-Time Drilling Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The age of easy oil is ending, and the industry started drilling in remote unconventional conditions. To help produce safer, faster, and most effective operations, the utilization of artificial intelligence and machine ...
An Environment Friendly Approach to Reduce the Breakdown Pressure of High Strength Unconventional Rocks by Cyclic Hydraulic Fracturing
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Unconventional hydrocarbon resources mostly found in highly stressed, overpressured, and deep formations, where the rock strength and integrity are very high. When fracturing these kinds of rocks, the hydraulic fracturing ...
A Data-Driven Machine Learning Approach to Predict the Natural Gas Density of Pure and Mixed Hydrocarbons
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Natural gas is one of the main fossil energy resources, and its density is an effective thermodynamic property, which is required in almost every pressure–volume–temperature (PVT) calculation. Conventionally, the density ...