Digital Commons Network^™

Leveraging Artificial Intelligence And Geomechanical Data For Accurate Shear Stress Prediction In Co2 Sequestration Within Saline Aquifers (Smart Proxy Modeling), Munirah Alawadh

Graduate Theses, Dissertations, and Problem Reports

This research builds upon the success of a previous project that used a Smart Proxy Model (SPM) to predict pressure and saturation in Carbon Capture and Storage (CCS) operations into saline aquifers. The Smart Proxy Model is a data-driven machine learning model that can replicate the output of a sophisticated numerical simulation model for each time step in a short amount of time, using Artificial Intelligence (AI) and large volumes of subsurface data. This study aims to develop the Smart Proxy Model further by incorporating geomechanical datadriven techniques to predict shear stress by using a neural network, specifically through supervised …

Investigation Of Post-Acid Stimulation Impacts On Well Performance Using Fracture Modeling And Reservoir Simulation In A Jurassic Carbonate Reservoir, Muaath Alansari

Masters Theses

"Well stimulation (well fracturing) became an essential tool in the Oil and Gas industry to unlock the potential of unconventional reservoirs all over the world and especially in the Middle East. In Kuwait, well stimulation is obligatory when dealing with deep Jurassic carbonate reservoirs. Thus, the well fracture designing process plays a very critical role in determining the success of the stimulation job and the improvement of the recovery.

Several wells stimulated with 20% HCL have shown wide variations in both short and long term well production performance. The research aims to investigate and identify the possible reasons causing these …

Data-Driven Modeling And Prediction For Reservoir Characterization And Simulation Using Seismic And Petrophysical Data Analyses, Xu Zhou

LSU Doctoral Dissertations

This study explores the application of data-driven modeling and prediction in reservoir characterization and simulation using seismic and petrophysical data analyses. Different aspects of the application of data-driven modeling methods are studied, which include rock facies classification, seismic attribute analyses, petrophysical properties prediction, seismic facies segmentation, and reservoir dimension reduction.

The application of using petrophysical well logs to predict rock facies is explored using different data analytics methods including decision tree, random forest, support vector machine and neural network. Different models are trained from a set of well logs and pre-interpreted rock facies data. Among the compared methods, the random …

An Integrated Method For Understanding The Fluid Flow Behavior And Forecasting Well Deliverability In Gas Condensate Reservoirs With Water Aquifer Drive, Abdulaziz Mustafa Em. Ellafi

Masters Theses

"Gas condensate reservoirs constitute a significant portion of global hydrocarbon reserves. In these reservoirs, as bottomhole pressure falls below the dew point, liquid develops in the pore space. This results in the formation of a liquid bank near the wellbore region that decreases gas mobility, which then reduces gas inflow. Some gas condensate reservoirs have bottom aquifer drive, which also negatively impacts gas production. This research used a field case study to demonstrate an integrated workflow for forecasting well deliverability in a gas condensate field in Libya. The workflow began with the interpretation of open-hole log data to identify the …

Evaluation Of Methods To Model Hydraulic Fractures In Flow Simulation, Ben Doleshal

Graduate Theses & Non-Theses

Modern reservoir studies use reservoir simulation to predict future production and plan reservoir development. Due to the increase in production in unconventional reservoirs in recent years, the number of hydraulically fractured wells has risen drastically. The days of using simple analytic techniques to account for the production of a single hydraulic fracture in a vertical well are gone, and the need to be able to model numerous hydraulic fractures in many stages over long horizontals is required.

This brings up the study question of this research: What is the best way to model hydraulic fractures in a flow simulator? There …

Multiscale Modeling Of Particle Transport In Petroleum Reservoirs, Layne Bryan French

LSU Master's Theses

Modeling subsurface particle transport and retention is important for many processes, including sand production, fines migration, and nanoparticle injection. In this study, a pore-scale particle plugging simulator is concurrently coupled with a streamline reservoir simulator to predict the behavior of particles in the subsurface. The coupled simulators march forward in time together. The automated communication between the two models enables the prediction of spatially and time dependent parameters that control the particle transport process. At each time step, the reservoir simulator provides the inlet velocity and particle concentration of the fluid suspension to the pore-scale model which outputs the permeability, …

Simulation Study Of Sweep Improvement In Heavy Oil Co2 Floods, Venu Gopal Rao Nagineni

LSU Master's Theses

Enhanced oil recovery by CO2 injection is a common application used for light oil reservoirs since CO2 is relatively easily miscible with light oils. CO2 flooding in heavy oil reservoirs is often uneconomic due to unfavorable mobility ratios. Reservoir heterogeneity further complicates the process as CO2 channels through high permeability layers leading to premature breakthrough. However, this can be controlled by choosing a suitable modification to the CO2 injection process enabling better sweep efficiencies, and making the process economic. The current work focuses on two such methods; water-alternating-gas injection (WAG) and profile modification by blocking gas flow in the high …

Realtime Reservoir Characterization And Beyond: Cyber-Infrastructure Tools And Technologies, Yaakoub Youssef El-Khamra

LSU Master's Theses

The advent of the digital oil _x000C_eld and rapidly decreasing cost of computing creates opportunities as well as challenges in simulation based reservoir studies, in particular, real-time reservoir characterization and optimization. One challenge our e_x000B_orts are directed toward is the use of real-time production data to perform live reservoir characterization using high throughput, high performance computing environments. To that end we developed the required tools of parallel reservoir simulator, parallel ensemble Kalman _x000C_lter and a scalable work ow manager. When using this collection of tools, a reservoir modeler is able to perform large scale reservoir management studies in short periods …