Other Engineering Commons^™

Comprehensive Evaluation Of Co₂ Eor Numerical Modeling In The Clinton Sandstone Of The Appalachian Tri-State Region Using Compositional Reservoir Simulation (Cmg Gem), Bushra Aref Alqattan

Graduate Theses, Dissertations, and Problem Reports (ETD)

ABSTRACT

The Clinton Sandstone of the Appalachian Basin represents a mature hydrocarbon-producing formation with potential for carbon dioxide (CO₂) enhanced oil recovery (EOR). This study develops a compositional reservoir simulation model using the CMG software suite (WinProp, Builder, and GEM) to evaluate the performance of CO₂ injection in improving oil recovery within the Clinton formation.

A three-dimensional reservoir model was constructed using representative geological and petrophysical properties consistent with those of the Clinton Sandstone. Fluid behavior was modeled using a compositional equation-of-state (EOS) approach to accurately capture phase behavior, miscibility development, and CO₂–oil interactions under reservoir conditions. Injection scenarios were …

Ai-Driven Prediction And Reconstruction Of Missing Cased-Hole Logs For Improved Well System Understanding, Samuel Avilez Martinez

Graduate Theses, Dissertations, and Problem Reports (ETD)

Well logging is a fundamental technique in formation evaluation providing continuous, real-time measurements of geological and petrophysical properties within a well. Through the systematic analysis of well logs, engineers and geoscientists can accurately determine critical formation characteristics, including porosity, permeability, lithology, and fluid composition. Well logging is fundamental for making informed decisions and reducing uncertainties in the exploration and development of oil and gas reservoirs.

Despite its significance, the acquisition of reliable well log data in oil and gas wells is often compromised by various operational, mechanical, and formation-related challenges, as well as pressure, fluid, and equipment constraints. In high-risk …

Using Probabilistic Risk Assessment In Drilling R&D Projects, Jacob Matthew Smith

Graduate Theses, Dissertations, and Problem Reports (ETD)

Well drilling, since its inception, has always carried an intrinsic quantity of risk. Economically, the evolution of data analytics and the tools available to operators provide the opportunity to transform the lessons learned from previous well drilling endeavors into bottom line improvements. Additionally, methods for forecasting and risk management of potential trouble areas have significantly advanced due to the abundance of empirical data from prior drilling operations. Probabilistic Risk Assessment is a viable method through which risk can be tracked and mitigated in project management. Coupled with this data, the usage of Probabilistic Risk Assessment (PRA) provides a quantified, trackable …

Parametric Analysis Of Proppant Selection Impact On The Hydraulic Fracture And Productivity Of Extended-Reach Marcellus Shale Wells, Nicholas Hunter Lapinski

Graduate Theses, Dissertations, and Problem Reports (ETD)

Hydraulic Fracture Proppant is the gateway to reservoir connectivity, allowing for decades of natural gas production from hydraulically fractured wells in the Marcellus Shale. The proper selection of proppant can have major ramifications on the productivity of the extended-reach Marcellus shale wells. The proppant penetration into the induced fracture attempts to close the gap between the realistic non-uniform fracture conductivity and the idealistic uniform fracture conductivity. Consequently, the more proppant residing within these fractures, the more likely the proppant is to resist crushing due to the compaction. Phenomena, Advancements have been made to create more durable proppant types or proppant …

Enhancing Pipeline Simulations Through Artificial Intelligence And Machine Learning: A Smart Proxy Modelling Approach, Afeez Shittu

Graduate Theses, Dissertations, and Problem Reports (ETD)

ABSTRACT

Enhancing pipeline simulations is essential for improving operational efficiencies and effectively managing risks in the oil and gas industry. Traditional pipeline simulators, relying heavily on mathematical modeling assumptions, often face limitations due to their high energy and computational demands. This thesis addresses these challenges by introducing an innovative approach that integrates artificial intelligence (AI) and machine learning (ML) through a smart proxy model, offering a more efficient, cost-effective, and flexible alternative to conventional full-physics models used in pipeline simulation software.

The primary aim of this research is to develop and implement a smart proxy model capable of accurately predicting …

Enhancing Reservoir Modeling And Simulation Through Artificial Intelligence And Machine Learning: A Smart Proxy Modeling Approach, Andrew Timothy Jenkins

Graduate Theses, Dissertations, and Problem Reports (ETD)

The application of numerical reservoir simulation (NRS) has been a common approach within the oil and gas industry for decades, providing a means to model and forecast dynamic subsurface interactions, as a basis for reservoir management and development decisions. These techniques have expanded to application within carbon capture utilization and storage (CCUS) projects as domestic and global policy shift towards reducing carbon emissions while maintaining the energy needs of our modern society. NRS techniques have become a core process for permitting approval in Class VI (large-scale geological sequestration) wells due to the fundamental similarity of these types of subsurface processes. …

1d Geo-Mechanical Model Analysis Of The Mip 1s And Drilling Process Optimization In The Deep Appalachian Basin, Georges Brown Liwuitekong Dongho

Graduate Theses, Dissertations, and Problem Reports (ETD)

The proposed paper assesses the geological and geomechanical characteristics of the geothermal deep direct-use MIP 1S well in the Appalachian basin. The assessment utilizes a comprehensive suite of well logs, sidewall core analysis, and well injection tests to determine continuous elastic and rock strength properties. Stress and pore pressure profiling are conducted, and a validated 1D-geomechanical model is developed. This model undergoes analysis through wellbore stability assessments and comparisons with drilling events. The 1D-geomechanical model demonstrates a high degree of agreement with wellbore observations, revealing suboptimal execution of drilling practices, particularly utilizing mist air drilling up to 8868 feet. This …

Application Of High-Resolution Fiber Optic Data To Enhance Completion Design, Christian J. Pacheco

Graduate Theses, Dissertations, and Problem Reports (ETD)

MS Dissertation Defense

By

Christian Pacheco

Title: Application of High-Resolution Fiber Optic Data to Enhance Completion Design Major: Petroleum and Natural Gas Engineering Date: Thursday, April 18, 2024 Time: 4:00 PM Place: 141 Engineering Science Building

Abstract

Well stimulation is a technique that has been used in the industry for decades, and with the ability to drill wells horizontally the practice has become more valuable and effective than ever before. Its use is consistently being optimized and completions design plays a crucial role in the recovery of hydrocarbons. Several different downhole tools and measurements have been used to optimize these …

Machine Learning-Driven Quantification Of Co₂ Plume Dynamics At Ibdp Sites Using Microseismic Data, Ikponmwosa Bright Iyegbekedo

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis delves into the utilization of machine learning methodologies to quantify the spatial extent of CO₂ plumes by leveraging microseismic data obtained from the Illinois Basin Decatur Project (IBDP) site spanning November 2011 to June 2018. This initiative, focused on the geological sequestration of carbon dioxide, furnishes a unique and comprehensive dataset comprising well logs, microseismic activity records, and CO₂ injection metrics, all crucial for quantifying the subsurface CO₂ saturation plume dynamics. The primary objective is to forecast the temporal evolution of CO₂ saturation plumes in the subsurface, a critical undertaking for ensuring both the environmental integrity and operational …

The Impact Stress On The Fracture Conductivity And The Productivity Of The Marcellus Shale Horizontal Well, Simon Hanna Menhem

Graduate Theses, Dissertations, and Problem Reports (ETD)

The increase in effective stress during depletion adversely impacts the productivity of the multi-stage fractured Marcellus shale horizontal well. The geomechanical properties and proppant size influence the degree of shale compaction, the fracture conductivity, and the well productivity. This study seeks to assess the impact of net stress increase during depletion on the productivity of multi-stage fractured Marcellus shale horizontal wells. To investigate the impact of the net stress increase, a model for Bogges-5H well was developed based on the petrophysical and geomechanical properties of the shale obtained from the core plugs and well logs measurements from the pilot (Bogges …

Synthetic Well Log Generation Software, Daniel E. Keller

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this study, we developed a novel approach to generate synthetic well logs using backpropagation neural networks through the use of an open source software development tool. Our method predicts essential well logs such as neutron porosity, sonic, photoelectric, and resistivity, which are crucial in various stages of oil and gas exploration and development, as they help determine reservoir characteristics. Our approach involves sequentially predicting well logs, using the outputs of one prediction model as inputs for subsequent models to generate comprehensive and coherent sets of well logs. We trained and tested our models using 16 wells from a single …

Improving The Health And Safety Of Manufacturing Workers By Detecting And Addressing Personal Protective Equipment (Ppe) Violations In Real-Time With The Use Of Automated Ppe Detection Technology, Joseph Olufemi Fasinu

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Centers for Disease Control and Prevention (CDC) emphasized that Personal Protective Equipment (PPE) can significantly reduce the risk of occupational injuries and illnesses. However, improper use, failure to use, and other PPE-related violations can still result in injuries and fatalities. Eye and face protection violation has been one of the top 10 most frequently violated OSHA standards in fiscal years 2018, 2019, 2020, 2021 and 2022 consecutively. A common practice among safety professionals to ensure PPE compliance has been to physically inspect or monitor PPE usage among workers, which has been found to be unsustainable on a continuous real-time …

Advancing Carbon Sequestration Through Smart Proxy Modeling: Leveraging Domain Expertise And Machine Learning For Efficient Reservoir Simulation, Iman Oraki Kohshour

Graduate Theses, Dissertations, and Problem Reports (ETD)

Geological carbon sequestration (GCS) offers a promising solution to effectively manage extra carbon, mitigating the impact of climate change. This doctoral research introduces a cutting-edge Smart Proxy Modeling-based framework, integrating artificial neural networks (ANNs) and domain expertise, to re-engineer and empower numerical reservoir simulation for efficient modeling of CO₂ sequestration and demonstrate predictive conformance and replicative capabilities of smart proxy modeling.

Creating well-performing proxy models requires extensive human intervention and trial-and-error processes. Additionally, a large training database is essential to ANN model for complex tasks such as deep saline aquifer CO₂ sequestration since it is used as the …

Application Of The Flowing Material Balance To Unconventional Gas Reservoirs, Amanda Jo Parrish

Graduate Theses, Dissertations, and Problem Reports (ETD)

In the realm of conventional reservoirs, the estimation of Original Gas-in-Place (OGIP) has long been established using traditional material balance method. However, the emergence of unconventional shale reservoirs accessed through horizontal well and hydraulic fracturing presents new challenges for estimation OGIP by the traditional material balance. The flowing material balance (FMB) has the potential to provide an estimate of the OGIP in the stimulated reservoir volume (SRV).

Adsorption of hydrocarbons to the organic matter within the shale rock matrix represents a significant component of the overall OGIP. The inclusion of the Langmuir volume and pressure in the material balance equation …

High Precision Pipeline Leak Detection And Localization Using Negative Pressure Wave Technique: An Application In A Real Field Case Study, Nathaniel C. Moryan

Graduate Theses, Dissertations, and Problem Reports (ETD)

One of the most important aspects of oil and gas production is the safe and efficient fluid transportation using pipelines. Pipelines transporting various fluids are the most efficient but are susceptible to failure and leaks. These leaks can come about through natural disaster, as well as from general wear from the pipes that could result in major environmental and economic problems. The ability to detect leaks with speed and accuracy, as well as locating these leaks within a narrow range, will aid with the maintenance response. Hasty responses will minimize the revenue loss and reduce potential environmental impact but bring …

Incentive Analysis Of Blockchain Technology, Rahul Reddy Annareddy

Graduate Theses, Dissertations, and Problem Reports (ETD)

Blockchain technology was invented in the Bitcoin whitepaper released in 2008. Since then, several decentralized cryptocurrencies and applications have become mainstream. There has been an immense amount of engineering effort put into developing blockchain networks. Relatively few projects backed by blockchain technology have succeeded and maintained a large community of developers, users, and customers, while many popular projects with billions of dollars in funding and market capitalizations have turned out to be complete scams.

This thesis discusses the technological innovations introduced in the Bitcoin whitepaper and the following work of the last fifteen years that has enabled blockchain technology. A …

Ear Biometrics: A Comprehensive Study Of Taxonomy, Detection, And Recognition Methods, Susan Awm El-Naggar

Graduate Theses, Dissertations, and Problem Reports (ETD)

Due to the recent challenges in access control, surveillance and security, there is an increased need for efficient human authentication solutions. Ear recognition is an appealing choice to identify individuals in controlled or challenging environments. The outer part of the ear demonstrates high discriminative information across individuals and has shown to be robust for recognition. In addition, the data acquisition procedure is contactless, non-intrusive, and covert. This work focuses on using ear images for human authentication in visible and thermal spectrums. We perform a systematic study of the ear features and propose a taxonomy for them. Also, we investigate the …

Development Of A Machine Learning Model To Characterize The Performance Of A Selective Catalytic Reduction On Filter After-Treatment System For A Heavy-Duty Diesel Engine, Samuel A. Okeleye

Graduate Theses, Dissertations, and Problem Reports (ETD)

Particulate matter (PM) and Oxides of Nitrogen (NOx) are the major pollutants in diesel engines, an attempt to control one leads to an increase in the other, a phenomenon known as PM-NOx trade-off in diesel engine emission control. Currently, these two pollutants are controlled by the Diesel Particulate Filter (DPF) and the Selective Catalytic Reduction (SCR) after-treatment system respectively, in addition to the Diesel Oxidation Catalyst (DOC) which helps to provide 1:1 split of NO/NO₂ and helps with raising exhaust gas temperatures. Today, heavy-duty diesel engines feature a DPF, a primary SCR and a secondary SCR. Despite this complex …

Productivity Index For Unconventional Gas Wells, Yousef Khajah

Graduate Theses, Dissertations, and Problem Reports (ETD)

Productivity Index reflects the ability of a well to produce hydrocarbons and is often used to analyze the well's performance. Productivity Index is the ratio of the flow rate to the drawdown pressure under pseudo-steady state flow conditions. The unconventional gas formation such as shale are the main target of the gas exploration and production. The application of horizontal drilling and hydraulic fracturing technologies have been instrumental in development of shale gas resources. The evaluation of the productivity index for unconventional gas wells is however challenging because the production mainly occurs under the transient conditions.

This research aims to evaluate …

Modeling Gas Migration During A Gas Kick, Ali Zankawi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Gas kick is an undesirable problem in the oil and gas industry, which can potentially interfere with the production process and damage drilling equipment. The primary intent of this study is to highlight gas migration and its effect on gas kick mitigation approaches that would benefit the petroleum industry. The integrated analysis provides valuable insight regarding parameters promoting efficient drilling and production processes, Minimizing the risk of gas kicks. This study aimed to investigate the impact of critical parameters on gas migration during the gas kick in both water- and oil-based mud and promote the understanding of the dynamics of …

Designs And Practical Control Methods For Soft Parallel Robots, Benjamin T. Buzzo

Graduate Theses, Dissertations, and Problem Reports (ETD)

The use of soft robotics is becoming an increasingly researched topic, since they can provide more flexibility in movements and increase safety when working with humans. However, they are more susceptible to modeling and manufacturing errors in the design.

The objective of this thesis is two-fold, the first objective is to determine the benefits and limitations of using calibration tables that rely on the PWM signals instead of modeling as a control method. If calibration tables are not adequate to achieve a high level of precision. The second objective is to determine if using a tethered mobile robot in unison …

Engaging First Year Students With Intellectual Property, Marian G. Armour-Gemmen

Faculty & Staff Scholarship

Since intellectual property is so important to engineers, creating enthusiasm from the beginning of their engineering studies is imperative. Since first year students have not learned how to apply technological concepts to real life, demonstrating intellectual property could be a challenge. To engage first year engineering students in the concept and the value of intellectual property, students were introduced to basic concepts and applications. Different concepts were applied to real life examples allowing them to interface with technology from an intellectual property perspective. This paper highlights not only patents, but also trademarks and trade secrets.

The Impact Of Stress Shadowing With Variations In Cluster Spacing On The Production For Wells Completed In The Marcellus Shale, Joshua R. Dietz

Graduate Theses, Dissertations, and Problem Reports (ETD)

The design of the well stimulation treatment has significantly changed over the last decade because of the advancement of hydraulic fracturing. The cluster and stage spacing design component of hydraulic fracturing has been a key factor in enhancing the production from the horizontal wells. Recently, the treatment designs are moving towards lower cluster spacing. The reduction of the spacing alters the in-situ stresses in the formation and begin to impact the propagation of next set of future fractures and the properties of previous fractures. These stress alterations from hydraulic fracturing is referred to as stress shadowing.

The objective of study …

Deep Learning Based Face Detection And Recognition In Mwir And Visible Bands, Suha Reddy Mokalla

Graduate Theses, Dissertations, and Problem Reports (ETD)

In non-favorable conditions for visible imaging like extreme illumination or nighttime, there is a need to collect images in other spectra, specifically infrared. Mid-Wave infrared (3-5 microm) images can be collected without giving away the location of the sensor in varying illumination conditions. There are many algorithms for face detection, face alignment, face recognition etc. proposed in visible band till date, while the research using MWIR images is highly limited. Face detection is an important pre-processing step for face recognition, which in turn is an important biometric modality. This thesis works towards bridging the gap between MWIR and visible spectrum …

Application Of Decline Curve Analysis To Unconventional Reservoirs, Majed Hisham Kabbani

Graduate Theses, Dissertations, and Problem Reports (ETD)

Supply and demand are the main key factors for oil and gas industry. Moreover, natural gas was not important until early 18^th century after the World War II. The first shale gas well was successfully drilled 27 ft deep in 1821. The well was drilled in the Devonian Dunkirk shale. Later in the 1980s producers began investigating into the more difficult tight gas sands in order to keep up with the growing market. A decade later in 1990s investors were looking at coalbed methane. Today, as demand is increasing globally, the oil and gas industry is moving toward shale. …

Production Allocation Of Reservoir Layers Using Data-Driven Reservoir Modeling, Semaa Alessa

Graduate Theses, Dissertations, and Problem Reports (ETD)

The pros of having a commingled layer scheme would be considered high with successful reservoir management. If not, the cons will impact the production drastically as unfortunate consequences may result in reservoir fluids communication, well integrity issues, and production termination. Although the plane requires optimizing production with minimal capital investments and operating expenses, it is an enormous challenge considering commingled layers frequent surveillance and workover requirements.

As the value of information is a decision tool for the surveillance frequency, the oil industry often uses static assumptions as an economical replacement of dynamic measurements such as KH static modeling. However, the …

Using Ai And Machine Learning To Indicate Shale Anisotropy And Assist In Completions Design, Cole E. Palmer

Graduate Theses, Dissertations, and Problem Reports (ETD)

Operating companies in the unconventional Marcellus shale play have all faced a similar and problematic issue, while attempting to produce natural gas over the last decade. Companies have quickly realized that not every perforation along their horizontal wells are producing gas. In fact, producing perforations are only ranging from 15%-70% of the total perforations along the horizontal wellbore [1]. This unexplained issue results in millions of dollars in lost revenue per well, in addition to the sunk cost of paying for completions that are not actually yielding any produced gas.

What is causing these perforations to have no produced gas? …

Performance Study Of Five Different Cabin Air Filters In The Laboratory And On-Road Drive, Fahad Alqahtani

Graduate Theses, Dissertations, and Problem Reports (ETD)

One of the aims of installing ventilation filters in a car is to prevent vehicle occupants from inhaling potentially harmful aerosols emanating from the environment. Vehicle cabin filters are essential in ensuring that a vehicle's air conditioning system provides clean air to its occupants. The purpose of the cabin filter is to improve air quality inside the car to provide better comfort and better protect occupants from experiencing unwanted respiratory problems. Using cabin filters in air conditioning systems is a common practice in modern vehicle manufacturing. Scientists and engineers are continually seeking new ways of improving the efficiency and effectiveness …

Green Completion As A Mitigation For Btex Exposure In Gas Flaring: Nigeria Case Study (Exposure Assessment And Cost Model), Akintunde S. Akinyemi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Gas flaring is an essential part of the oil and gas industry safety and waste management procedures; however, it presents a potential exposure to BTEX compounds, a group of Non-Methane Volatile Organic Compounds (NMVOC), within up to a 10-mile radius of the flare point. The physical and the psychological cost of the journey to work, make employees live close to the workplace. This study examined the perceived exposure of oil and gas industry workers to possible carcinogenic emissions outside the workplace. It looked at the outcomes of the exposure to BTEX through gas flaring drawing on archival data and using …

Semi Analytical Approach For Binary Mixture Conductivity In Hydraulic Fracturing, Vuong V. Pham

Graduate Theses, Dissertations, and Problem Reports (ETD)

In hydraulic fracturing, a proppant injection schedule practice typically applies a binary proppant mixture (for example: 100 Mesh sand following by 40/70 Mesh sand in well MIP-3H, Marcellus Shale). The former injection agent is finer in size or less resistant to stress, whereas the latter injection agent is coarser in size or more resistant to stress. This practice creates a special region inside the fracture, in which two injected proppant types co-exist and is defined as the mixture zone. This research concentrates on the variability of the mixture zone under impact of different factors, introduces novel semi-analytical modelling approach to …