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Full-Text Articles in Petroleum Engineering
Understanding Effective Elastic Properties And Stress-Strain Evolution In Composite Granular Rocks Using Discrete Element Modeling, Prasad Pothana, Fernando E. Garcia, Kegang Ling
Understanding Effective Elastic Properties And Stress-Strain Evolution In Composite Granular Rocks Using Discrete Element Modeling, Prasad Pothana, Fernando E. Garcia, Kegang Ling
Petroleum Engineering Posters and Presentations
The mechanical behavior of composite granular rocks is a multifaceted phenomenon relevant to various geoengineering applications. Traditional homogenization models and continuum mechanics-based numerical methods often fall short of accurately capturing the intricacies of granular materials. Granular materials exhibit heterogeneity and arching mechanisms governing the force networks that ensure system stability. Unlike continuum-based approaches, particulate discrete element methods have an advantage in assessing effective material properties by considering material heterogeneity and grain-level physical interactions. This study evaluates effective elastic properties using particle flow code using flat-joint contact law for composite binary mixtures with a stiff inclusion embedded within a matrix material. …
Characterizing Nonlinear Fluid Flow In 3d Printed Rock Fractures: Effects Of Roughness, Aperture, And Intersection Angles, Ghoulem Ifrene, Prasad Pothana, Sven Egenhoff, Nicholas Bittner, Kuldeep Singh
Characterizing Nonlinear Fluid Flow In 3d Printed Rock Fractures: Effects Of Roughness, Aperture, And Intersection Angles, Ghoulem Ifrene, Prasad Pothana, Sven Egenhoff, Nicholas Bittner, Kuldeep Singh
Petroleum Engineering Posters and Presentations
Understanding fluid flow behavior at fracture intersections is vital to geothermal energy extraction, underground water flow, and CO2 storage. Here, laboratory experiments were performed to study the effect of surface roughness, intersection angles, and aperture on nonlinear flow behavior in simple fracture networks. A FormLabs (3B+) 3D printer was used to fabricate 8 samples of 38.1mm in diameter and 59.43mm or 54.9mm in length with 2 intersecting fractures of 10o and 40o respectively. The surface roughness of the fractures was based on laser profilometry measurements from two induced mode 1 rock fractures, with a joint roughness coefficient …
Comparing Fishbone Drilling And Hydraulic Fracturing In Ultra-Low Permeability Geothermal Reservoirs, Aimene Aihar, Nassim Bouabdallah, Ghoulem Ifrene, Doina Irofti
Comparing Fishbone Drilling And Hydraulic Fracturing In Ultra-Low Permeability Geothermal Reservoirs, Aimene Aihar, Nassim Bouabdallah, Ghoulem Ifrene, Doina Irofti
Petroleum Engineering Posters and Presentations
Harnessing geothermal energy through Enhanced Geothermal Systems (EGS) offers a sustainable and renewable means of tapping the Earth's subsurface heat. However, in ultra-low permeability formations like those found in the Williston Basin, the effectiveness of conventional hydraulic fracturing techniques is limited. This study evaluates the potential of fishbone drilling technology as an alternative approach, focusing on the efficiency and engineering aspects of both methods in the context of geothermal reservoirs with extremely low permeability.
We carried out an extensive literature review, numerical simulations, and case studies to compare fishbone drilling and hydraulic fracturing in EGS applications. Fishbone drilling, which involves …
Evaluation Of Hybrid Prediction Models For Accurate Rate Of Penetration (Rop) Prediction In Drilling Operations, Abdelhakim Khouissat, Mohamed Riad Youcefi, Ghoulem Ifrene, Doina Irofti
Evaluation Of Hybrid Prediction Models For Accurate Rate Of Penetration (Rop) Prediction In Drilling Operations, Abdelhakim Khouissat, Mohamed Riad Youcefi, Ghoulem Ifrene, Doina Irofti
Petroleum Engineering Posters and Presentations
The precise prediction of the rate of penetration (ROP) is of utmost importance for optimizing drilling operations and minimizing costs while increasing efficiency. However, the complex and nonlinear nature of the drilling process can pose significant challenges in achieving accurate ROP predictions. To address this challenge, multiple hybrid prediction models have been developed, and their accuracy in ROP prediction has been compared.
To accomplish this objective, we created three different hybrid models, including Artificial Neural Network – Genetic Algorithm (ANN-GA), Artificial Neural Network-Particle Swarm Optimization (ANN-PSO), and Support Vector Regression (SVR) to estimate ROP. These models were trained and tested …
Exploring Underground Hydrogen Storage Options In North Dakota: A Review, Aimen Laalam, Olusegun Stanley Tomomewo
Exploring Underground Hydrogen Storage Options In North Dakota: A Review, Aimen Laalam, Olusegun Stanley Tomomewo
Petroleum Engineering Posters and Presentations
As the world shifts towards a low-carbon future, the demand for efficient, safe, and cost-effective energy storage solutions has become increasingly critical. Hydrogen has emerged as a promising energy carrier with numerous advantages, such as high energy density, zero emission combustion, and versatile applications. Nevertheless, the challenge of effective hydrogen storage remains. This study examines the potential of underground hydrogen storage (UHS) in North Dakota, assessing its opportunities and challenges in supporting the region's renewable energy objectives. North Dakota's unique geological features, abundant renewable energy resources, and growing energy demands make it an ideal location for UHS implementation. This review …
Advancing Our Understanding Of Non-Linear Flow Behavior In X-Crossing Fractures Through 3d Printing Technology, Ghoulem Ifrene, Sven Egenhoff, Doina Irofti, Nicholas Bittner, Tyler Newman
Advancing Our Understanding Of Non-Linear Flow Behavior In X-Crossing Fractures Through 3d Printing Technology, Ghoulem Ifrene, Sven Egenhoff, Doina Irofti, Nicholas Bittner, Tyler Newman
Petroleum Engineering Posters and Presentations
Fractured reservoir systems play a critical role in the efficient management of hydrocarbon resources, CO2 storage, and geothermal energy extraction. Understanding the behavior and characteristics of these systems is essential for optimizing recovery, reducing carbon footprint, and increasing efficiency. However, fractures within reservoir systems create complex geometries and can make fluid flow behavior complex and difficult to predict. Replicating these complex geometries in the laboratory has been challenging, but advancements in 3D printing technology have made it possible to create accurate models of rough-walled fracture geometries. In this study, the impact of geometric characteristics on fluid flow behavior in connected …