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Department of Petroleum Engineering, University of Houston, 2. Metarock Laboratories, 3. Department of Earth and Atmospheric Sciences, University of Houston) 16:00-16:30 Break and Walk to Bizzell Museum 16:30-17:30 Tour: History of Science Collections, Bizzell Memorial Library, The University of Oklahoma 17:30-19:00 Networking Reception: Thurman J. White Forum Building
- North America > United States > Texas (0.51)
- North America > United States > Oklahoma (0.44)
- North America > United States > Colorado (0.31)
- Geology > Geological Subdiscipline > Geomechanics (0.76)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock (0.49)
- Reservoir Description and Dynamics > Unconventional and Complex Reservoirs (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization (1.00)
- Reservoir Description and Dynamics > Formation Evaluation & Management (1.00)
- Reservoir Description and Dynamics > Reservoir Fluid Dynamics > Flow in porous media (0.48)
Petroleum Engineering, University of Houston, 2. Metarock Laboratories, 3. Department of Earth and Atmospheric Sciences, University of Houston) 16:00-16:30 Break and Walk to Bizzell Museum 16:30-17:30 Tour: History of Science Collections, Bizzell Memorial Library, The University of Oklahoma 17:30-19:00 Networking Reception: Thurman J. White Forum Building
- Research Report > New Finding (0.93)
- Overview (0.68)
- Geology > Geological Subdiscipline > Geomechanics (1.00)
- Geology > Mineral (0.72)
- Geology > Rock Type > Sedimentary Rock > Carbonate Rock (0.68)
- (2 more...)
- Geophysics > Borehole Geophysics (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling (0.93)
- North America > United States > Texas (1.00)
- Europe (0.93)
- Research Report > New Finding (0.93)
- Overview (0.88)
- Geology > Geological Subdiscipline > Geomechanics (1.00)
- Geology > Rock Type > Sedimentary Rock > Carbonate Rock (0.68)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock > Sandstone (0.47)
- Geophysics > Borehole Geophysics (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling (0.93)
Department of Petroleum Engineering, University of Houston, 2. Metarock Laboratories, 3. Department of Earth and Atmospheric Sciences, University of Houston) 16:00-16:30 Break and Walk to Bizzell Museum 16:30-17:30 Tour: History of Science Collections, Bizzell Memorial Library, The University of Oklahoma 17:30-19:00 Networking Reception: Thurman J. White Forum Building
- North America > United States > Texas (0.51)
- North America > United States > Oklahoma (0.43)
- Geology > Geological Subdiscipline > Geomechanics (0.77)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock (0.49)
- Reservoir Description and Dynamics > Unconventional and Complex Reservoirs (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization (1.00)
- Reservoir Description and Dynamics > Formation Evaluation & Management (1.00)
- Reservoir Description and Dynamics > Reservoir Fluid Dynamics > Flow in porous media (0.48)
Summary Erosion and forces on rams may prevent a blowout preventer (BOP) from sealing a well. Analyzing the flow field throughout a BOP may provide insight into these flowing effects on the inability of a BOP to seal the well. 3D transient simulation of fluid flow throughout closing BOP fluid domains is demonstrated using computational fluid dynamics (CFD). Simulation may be used to analyze the transient stress, pressure, and velocity fields throughout a BOP domain as it is closing. Many challenges exist in simulating a closing BOP using CFD, including boundary conditions and treatment of dynamic meshing. Solutions to those challenges are presented in this work. CFD simulations are carried out using ANSYS Fluent v19.2 (ANSYS, Canonsburg, Pennsylvania, USA). For inlet boundary conditions to the CFD domain, the CFD simulations are explicitly coupled with a 1D wellbore simulator. The 1D wellbore simulator provides a connection between the BOP and constant pressure reservoir. Numerical instability is present during this coupling process. An implementation for dealing with this instability is presented. An example validation case is presented to demonstrate the accuracy of CFD for pressure fields throughout valves. A second 2D axisymmetric case is shown to demonstrate the meshing and coupling simulation process. A third case, simulation through a 3D shear geometry is then presented to show the applicability of the process to a more complex geometric design. Velocity and stress fields are plotted to show the practicality of CFD in analyzing the probable causes of failure in BOP closures.
- North America > United States > Ohio (0.28)
- North America > United States > Louisiana (0.28)
- North America > Canada > Newfoundland and Labrador (0.28)
- North America > United States > Pennsylvania (0.24)
- North America > United States > Gulf of Mexico > Central GOM > East Gulf Coast Tertiary Basin > South Timbalier Area (0.99)
- North America > United States > Gulf of Mexico > Central GOM > East Gulf Coast Tertiary Basin > Mississippi Canyon > Block 252 > Macondo Field > Macondo 252 Well (0.99)
- Well Drilling > Pressure Management > Well control (1.00)
- Well Drilling > Drilling Equipment > Well control equipment (1.00)
- Reservoir Description and Dynamics > Reservoir Fluid Dynamics (1.00)
- (5 more...)
Integrated Workflow for Reservoir Management in Mature Waterflooded Reservoir within a Complex Geological Environment: Gullfaks Case Study
Kareb, Ahmed (University of Houston, Houston) | Dindoruk, Birol (University of Houston, Houston) | Chiboub-Fellah, Abd Elaziz (IFP School, Paris) | Gareche, Mourad (University of Boumerdes, Boumerdes)
In the context of field development planning, the project workflow has to be outlined beforehand to ensure the most optimal and accurate outcomes within time limits. The workflow started by utilizing a G&G software, Petrel, to depict the rock type and fault distribution within the geological models by incorporating interpreted seismic data and well logs. This integrated approach facilitated a comprehensive understanding of the reservoir's structural and geological characteristics. Furthermore, standard geostatistical techniques applied in software generated property models that ensured alignment of permeability and porosity distribution with the corresponding well logs. Interpretation of production data, PVT, and SCAL served as the basis for initializing the model using a reservoir simulator, Intersect, as a dynamic flow simulator. The accuracy and reliability of the model were ensured through quality checks, which include volume estimate comparison starting with equilibrium runs. Additionally, sensitivity analysis was performed by adjusting model parameters to achieve a history match and align simulated results with actual reservoir behavior in various ways. The calibrated model explored using a high-resolution simulator for high accuracy and more options for development strategies such as infill wells (horizontal and vertical), well conversions, water shut-off (zonal isolation and selective perforation), stimulation operations, and ESP systems in order to optimize reservoir performance and maximize production while improving sweep efficiency. Lastly, economic evaluation based on net present value (NPV) analysis considered techno-economic factors to identify the most suitable development strategy that balanced technical feasibility with economic viability.
- North America > United States (0.94)
- Europe > Norway > North Sea > Northern North Sea (0.70)
- Geology > Rock Type (0.88)
- Geology > Geological Subdiscipline (0.68)
- Geology > Structural Geology > Fault (0.47)
- Geophysics > Borehole Geophysics (0.88)
- Geophysics > Seismic Surveying (0.54)
- North America > United States > North Dakota > Williston Basin > Bakken Shale Formation > Middle Bakken Shale Formation (0.99)
- Europe > Norway > North Sea > Northern North Sea > Statfjord Formation (0.99)
- Europe > Norway > North Sea > Northern North Sea > East Shetland Basin > PL 050 > Block 34/10 > Gullfaks Field > Statfjord Group (0.99)
- (7 more...)
- Reservoir Description and Dynamics > Reservoir Simulation (1.00)
- Reservoir Description and Dynamics > Reservoir Fluid Dynamics > Flow in porous media (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Geologic modeling (1.00)
- (7 more...)
- Information Technology > Software (0.50)
- Information Technology > Modeling & Simulation (0.47)
- Information Technology > Software Engineering (0.41)
A Novel Surrogate Model for Reservoir Simulations Using Fourier Neural Operators
Kazemi, Mohammad (Physics and Engineering Department, Slippery Rock University, Slippery Rock, PA, USA) | Takbiri-Borujeni, Ali (Independent Researcher) | Nouroizeh, Hossein (Shiraz University, Shiraz, Fars, Iran) | Kazemi, Arefeh (Shiraz University, Shiraz, Fars, Iran) | Takbiri, Sam (University of Isfahan, Isfahan, Iran) | Wallrich, Clayton (Physics and Engineering Department, Slippery Rock University, Slippery Rock, PA, USA)
Abstract This paper presents a novel approach using deep learning to address the computational challenges associated with direct numerical simulation (DNS) in reservoir management for oil and gas recovery optimization. DNS involves solving partial differential equations for millions of numerical grids, making it time-consuming and computationally expensive, especially when multiple DNS runs are required for uncertainty quantification. The proposed approach utilizes a deep learning model with a new neural operator that parameterizes the integral kernel directly in Fourier space, enabling fast and efficient predictions. By leveraging this approach, the heavy lifting of multiple DNS processes is eliminated, reducing computational time from hours to seconds. The methodology is applied to a two-dimensional reservoir use case, demonstrating its effectiveness in accurately predicting simulation results at a grid level with less than 10 percent error. This approach offers significant potential in accelerating reservoir simulation processes and optimizing oil and gas recovery strategies.
- North America > United States (0.69)
- Asia > Middle East > Iran (0.28)
- North America > Canada > Alberta > Athabasca Oil Sands > Western Canada Sedimentary Basin > Alberta Basin (0.99)
- North America > United States > Gulf of Mexico > Central GOM > East Gulf Coast Tertiary Basin > Mississippi Canyon > Block 522 > Na Kika Project > Fourier Field (0.89)
- Reservoir Description and Dynamics > Unconventional and Complex Reservoirs (1.00)
- Reservoir Description and Dynamics > Reservoir Simulation > History matching (1.00)
- Reservoir Description and Dynamics > Reservoir Fluid Dynamics > Flow in porous media (1.00)
- (2 more...)
A Two-Phase Type-Curve Method with Fracture Damage Effects for Hydraulically Fractured Reservoirs
Zhang, Fengyuan (National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum-Beijing, Beijing, China) | Pan, Yang (National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum-Beijing, Beijing, China) | Rui, Zhenhua (National Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum-Beijing, Beijing, China) | Emami-Meybodi, Hamid (Department of Energy and Mineral Engineering and EMS Energy Institute, The Pennsylvania State University, State College, Pennsylvania, USA) | Yang, Chia-Hsin (Department of Energy and Mineral Engineering and EMS Energy Institute, The Pennsylvania State University, State College, Pennsylvania, USA) | Wang, Ruiqi (Department of Oil Field Development, Research Institute of Petroleum Exploration & Development, Beijing, China) | Zhang, Wei (Department of Geoscience, University of Calgary, Calgary, Alberta, Canada)
Abstract Type-curve analysis on flowback and production data is a powerful tool in characterizing hydraulic fractures (HF) and reservoir properties. In order to evaluate HF characteristics and their dynamics for multi-fractured horizontal wells (MFHWs) in hydrocarbon reservoirs, we provide a novel type-curve method and an iterative workflow. The type curve incorporates the fracture damage effect, which is characterized by choked-fracture skin factor, into the two-phase flow in HF and matrix domains. The type-curve method can be applied to inversely estimate choked-fracture skin factor, fracture pore-volume, fracture premeability, and fracture permeability modulus through the analysis of two-phase production data. By introducing the new dimensionless parameters, the non-uniqueness problem of the proposed semianalytical method is significantly reduced by incorporating the complexity of fracture dynamics into one set of curves. The proposed type curve's accuracy is examined by numerical simulations of a shale gas and shale oil reservoir. The validation results demonstrate the good match of analytical type curves and numerical data plots and confirms the accuracy of the proposed approach in estimating the static and dynamic fracture properties. The flexibility and robustness of the proposed method are illustrated using the field example from a shale oil MFHW. The interpreted results from the flowback analysis of the field example offers a quantitative insight of fracture properties and dynamics.
- North America > United States (1.00)
- North America > Canada > Alberta (0.28)
- Geology > Geological Subdiscipline (1.00)
- Geology > Rock Type > Sedimentary Rock > Clastic Rock > Mudrock > Shale (0.90)
- North America > United States > Gulf of Mexico > Central GOM > West Gulf Coast Tertiary Basin > Walker Ridge > Block 628 > Julia Field (0.99)
- North America > United States > Gulf of Mexico > Central GOM > West Gulf Coast Tertiary Basin > Walker Ridge > Block 627 > Julia Field (0.99)
- North America > United States > Gulf of Mexico > Central GOM > West Gulf Coast Tertiary Basin > Walker Ridge > Block 584 > Julia Field (0.99)
- (2 more...)
- Reservoir Description and Dynamics > Unconventional and Complex Reservoirs > Shale gas (1.00)
- Reservoir Description and Dynamics > Unconventional and Complex Reservoirs > Naturally-fractured reservoirs (1.00)
- Reservoir Description and Dynamics > Reservoir Fluid Dynamics > Flow in porous media (1.00)
- (8 more...)
Abstract Thermally-activated, single-component resin formulations in which the catalyst is included in the resin composition can be challenging to place over intervals longer than 30 feet (9.1 meters). Despite the proven consolidation performance observed with epoxy-based systems, initial viscosity and rapid reactivity leading to short placement times have resulted in the industry seeking alternative chemistries to enhance formation integrity. Herein we report the development of a 2-stage formation consolidation system entailing a hetero-aromatic-based resin composition that, once placed downhole, will only begin curing with subsequent introduction of an activation fluid. The latent property of the updated resin formulation allows for extended lateral applications, and incorporating a new surface modifying agent allows for the treatment of formations with an excess of 20% wtโclay mineralogy.
- Asia (0.68)
- Africa > Nigeria (0.68)
- North America > United States > Texas (0.28)
- Energy > Oil & Gas > Upstream (1.00)
- Materials > Chemicals > Commodity Chemicals > Petrochemicals (0.66)
- North America > United States > Gulf of Mexico > Central GOM > East Gulf Coast Tertiary Basin > Ship Shoal South Addition > Block 359 > Mahogany Field (0.99)
- North America > United States > Gulf of Mexico > Central GOM > East Gulf Coast Tertiary Basin > Ship Shoal South Addition > Block 349 > Mahogany Field (0.99)
- North America > United States > Alaska > North Slope Basin > Umiat-Gubik Area > Umiat Field > Tuluvak Formation (0.99)
- (5 more...)
Abstract The activation mechanism of Irving-Dallas events is not well understood as it is shrouded in ambiguity due to many earthquakes located relatively far (>15 km) from production and injection wells. This requires a modeling approach that can quantify spatiotemporal propagation of production- and injection-induced stresses from wells to the faults while resolving fault geometry, stratigraphy, and well activity. However, constructing one such detailed model for the entire basin is computationally prohibitive due to the millions of grid cells needed to discretize the basin at that resolution. Based on our analysis of the data on well activity and fault position, we employed a novel two-model approach that exploits the disparity in scales between the basin-scale injection analysis and the well-scale fault reactivation analysis. We construct a coarse-scale model of Ellenburger injection in the Fort Worth basin and a fine-scale flow-geomechanics model of the Dallas-Irving region containing the faults that hosted the seismicity and the production/injection wells in the region. We use the coarse model to provide time-dependent pressure boundary conditions to the fine-scale model. We analyze the spatiotemporal evolution of pressure fields at both basin and reservoir scales. Analysis of the results provides evidence for interaction between Barnett's production and Ellenburger's injection as well as pressure diffusion from Ellenburger into the basement along the through-going faults. It allows us to test the hypothesis of injection-induced reactivation as the causative mechanism for the Irving seismic events. Almost all injection-induced seismicity studies in the literature show how injection near a fault (well-to-fault distance < 10 km) can induce seismicity. We provide evidence of far-field injection-induced seismicity (well-to-fault distance > 80 km) by coupling basin-scale and reservoir-scale models and a multi-physics approach.
- Geology > Structural Geology > Tectonics > Plate Tectonics > Earthquake (1.00)
- Geology > Geological Subdiscipline > Geomechanics (1.00)
- Geology > Structural Geology > Fault > Dip-Slip Fault (0.70)
- North America > United States > Texas > Fort Worth Basin > Barnett Shale Formation (0.99)
- North America > United States > Gulf of Mexico > Ellenburger Formation (0.99)
- North America > United States > Texas > Permian Basin > Ellenburger Formation (0.98)
- (2 more...)
- Reservoir Description and Dynamics > Reservoir Simulation (1.00)
- Reservoir Description and Dynamics > Reservoir Fluid Dynamics > Flow in porous media (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)
- (2 more...)