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West Virginia University

Theses/Dissertations

2023

Marcellus Shale

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Full-Text Articles in Engineering

Comparative Analysis Of Artificial Intelligence And Numerical Reservoir Simulation In Marcellus Shale Wells, Arya Maher Sattari Jan 2023

Comparative Analysis Of Artificial Intelligence And Numerical Reservoir Simulation In Marcellus Shale Wells, Arya Maher Sattari

Graduate Theses, Dissertations, and Problem Reports

This dissertation addresses the limitations of conventional numerical reservoir simulation techniques in the context of unconventional shale plays and proposes the use of data-driven artificial intelligence (AI) models as a promising alternative. Traditional methods, while providing valuable insights, often rely on simplifying assumptions and are constrained by time, resources, and data quality. The research leverages AI models to handle the complexities of shale behavior more effectively, facilitating accurate predictions and optimizations with less resource expenditure.

Two specific methodologies are investigated for this purpose: traditional numerical reservoir simulations using Computer Modelling Group's GEM reservoir simulation software, and an AI-based Shale Analytics …


Hydraulic Fracturing Treatment Optimization Using Machine Learning, Abdullah Johar Jan 2023

Hydraulic Fracturing Treatment Optimization Using Machine Learning, Abdullah Johar

Graduate Theses, Dissertations, and Problem Reports

Friction reducers are chemicals used in hydraulic fracturing to reduce friction between fracturing fluid and the wellbore walls, helping to overcome tubular drag at high flow rates. High viscosity friction reducers are increasingly used due to operational and economic benefits, but their optimal concentration for each stage of fracturing is not well studied. As a result, oil and gas companies often use more friction reducers than necessary to ensure designed injection rates are achieved and to avoid screening out, resulting in excess use of FR and economic losses. The primary goal of this Thesis is to fully comprehend and quantify …


The Impact Of Fracture Properties On Adsorbed Gas Production From A Marcellus Shale Horizontal Well, Valcia Mildreth Vasco Bulule Jan 2023

The Impact Of Fracture Properties On Adsorbed Gas Production From A Marcellus Shale Horizontal Well, Valcia Mildreth Vasco Bulule

Graduate Theses, Dissertations, and Problem Reports

Abstract

In addition to the gas present in the pores of the rock, shale also contains gas in the adsorbed state within the surface of the organic matter within the formation. As the free gas is produced, the pressure in the reservoir depletes, causing the adsorbed gas to be released, complementing the gas production. At the same time, the pressure reduction leads to increase in the effective stress causing shale compaction. The shale compaction negatively impacts the permeability and hydraulic fracture conductivity. This study aimed to investigate the impact of hydraulic fracture characteristics on the adsorbed gas recovery and, ultimately, …


An Artificial Neural Network Approach To Predicting Formation Stress In Multi-Stage Fractured Marcellus Shale Horizontal Wells Based On Drilling Operations Data, Moudhi Alawadh Jan 2023

An Artificial Neural Network Approach To Predicting Formation Stress In Multi-Stage Fractured Marcellus Shale Horizontal Wells Based On Drilling Operations Data, Moudhi Alawadh

Graduate Theses, Dissertations, and Problem Reports

The distribution of the anisotropic minimum horizontal stress, both in horizontal and vertical directions, is necessary for effective hydraulic fracture treatment design in Marcellus Shale horizontal wells. Typically, the minimum horizontal stress can be estimated sonic logs. However, sonic log data is not commonly available for the horizontal Marcellus shale wells due to the complexity and cost. The objective of this research is to predict the anisotropic minimum horizontal stress by utilizing drilling parameters including depth, weight-on-bit (WOB), revolution per minute (RPM), standpipe pressure, torque, pump flow rate, and the rate of penetration (ROP). More specifically, artificial neural network (ANN) …