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RISLong Term Effects of CO2 Sequestration on Rock Mechanical Properties
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The longterm geological sequestration of carbon dioxide (CO2) in underground formations (deep saline aquifers) is the most economically viable option to decrease the emissions of this greenhouse gas in the atmosphere. The ...
Machine 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. ...
Rock Strength Prediction in Real-Time While Drilling Employing Random Forest and Functional Network Techniques
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The rock unconfined compressive strength (UCS) is one of the key parameters for geomechanical and reservoir modeling in the petroleum industry. Obtaining the UCS by conventional methods such as experimental work or empirical ...
Intelligent Model for Predicting Downhole Vibrations Using Surface Drilling Data During Horizontal Drilling
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Drillstring vibration is a major concern during drilling wellbore, and it can be split into three types: axial, torsional, and lateral. Many problems associate with the high drillstring vibrations as tear and wear in ...
Machine Learning Models for Acoustic Data Prediction During Drilling Composite Lithology Formations
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The rock acoustic data that provide important information about the formation petrophysics and geomechanics are highly needed to design the wells drilling programs, in addition to, reservoir stimulation and field development ...
Effect of Sand Content on the Filter Cake Properties and Removal During Drilling Maximum Reservoir Contact Wells in Sandstone Reservoir
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The drilling mud program contains many tests such as filtration rate and filter cake properties to select the proper drilling fluid additives that yield the standard ranges of the viscosity, filtration rate, etc. However, ...
Development of New Permeability Formulation From Well Log Data Using Artificial Intelligence Approaches
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Permeability is a key parameter related to any hydrocarbon reservoir characterization. Moreover, many petroleum engineering problems cannot be precisely answered without having accurate permeability value. Core analysis ...
Evaluating the Effectiveness of Machine Learning Technologies in Improving Real-Time Drilling Data Quality
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Due to high demand for energy, oil and gas companies started to drill wells in remote environments conducting unconventional operations. In order to maintain safe, fast, and more cost-effective operations, utilizing machine ...
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 ...