scholarly journals InSAR Monitoring to Evaluate Surface Changes with CO2 Storage in a Depleted Oil Field in Northern Michigan

2020 ◽  
Author(s):  
Matthew Place ◽  
◽  
Marie-Josée Banwell ◽  
Giacomo Falorni ◽  
Neeraj Gupta
Keyword(s):  
Co2 Storage ◽  
Oil Field ◽  
Northern Michigan ◽  
Surface Changes

scholarly journals InSAR Monitoring to Evaluate Surface Changes with CO2 Storage in a Depleted Oil Field in Northern Michigan

2021 ◽  
Author(s):  
Matt Place ◽  
Neeraj Gupta ◽  
Giacomo Falorni ◽  
Marie-Josée Banwell
Keyword(s):  
Co2 Storage ◽  
Oil Field ◽  
Northern Michigan ◽  
Surface Changes

Online Modeling of CO2 Storage Systems

2021 ◽  
Author(s):  
Dale Douglas Erickson ◽  
Greg Metcalf
Keyword(s):  
Co2 Storage ◽  
Free Water ◽  
Oil Field ◽  
Management Tool ◽  
Carbon Dioxide Injection ◽  
Injection Wells ◽  
Internal Corrosion ◽  
Injection Process ◽  
Corrosion Risk ◽  
The Impact

Abstract This paper discusses the development and deployment of a specialized online and offline integrated model to simulate the CO2 (Carbon Dioxide) Injection process. There is a very high level of CO2 in an LNG development and the CO2 must be removed in order to prepare the gas to be processed into LNG. To mitigate the global warming effects of this CO2, a large portion of the CO2 Rich Stream (98% purity) is injected back into a depleted oil field. To reduce costs, carbon steel flowlines are used but this introduces a risk of internal corrosion. The presence of free water increases the internal corrosion risk, and for this reason, a predictive model discussed in this paper is designed to help operations prevent free water dropout in the network in real time. A flow management tool (FMT) is used to monitor the current state of the system and helps look at the impact of future events (startup, shutdowns etc.). The tool models the flow of the CO2 rich stream from the outlet of the compressor trains, through the network pipeline and manifolds and then into the injection wells. System behavior during steady state and transient operation is captured and analyzed to check water content and the balance of trace chemicals along with temperature and pressure throughout the network helping operators estimate corrosion rates and monitor the overall integrity of the system. The system has been running online for 24/7 for 2 years. The model has been able to match events like startup/shutdown, cooldowns and blowdowns. During these events the prediction of temperature/pressure at several locations in the field matches measured data. The model is then able to forecasts events into the future to help operations plan how they will operate the field. The tool uses a specialized thermodynamic model to predict the dropout of water in the near critical region of CO2 mixtures which includes various impurities. The model is designed to model startup and shutdown as the CO2 mixture moves across the phase boundary from liquid to gas or gas to liquid during these operations.

scholarly journals Assessment of CO2 Injectivity and Storage Capacity in a Depleted Pinnacle Reef Oil Field in Northern Michigan

2014 ◽  
Vol 63 ◽  
pp. 2969-2976 ◽  
Author(s):  
Priya Ravi Ganesh ◽  
Srikanta Mishra ◽  
Sanjay Mawalkar ◽  
Neeraj Gupta ◽  
Rick Pardini
Keyword(s):  
Storage Capacity ◽  
Oil Field ◽  
And Storage ◽  
Northern Michigan

scholarly journals Application of a physics-based lumped parameter model to evaluate reservoir parameters during CO2 storage

2020 ◽  
Vol 10 (8) ◽  
pp. 3925-3935
Author(s):  
Samin Raziperchikolaee ◽  
Srikanta Mishra
Keyword(s):  
Oil Recovery ◽  
Co2 Storage ◽  
Field Application ◽  
Oil Field ◽  
Lumped Parameter Model ◽  
Linear Regression Method ◽  
Oil Reservoir ◽  
Michigan Basin ◽  
Reservoir Properties ◽  
Lumped Parameter

Abstract Evaluating reservoir performance could be challenging, especially when available data are only limited to pressures and rates from oil field production and/or injection wells. Numerical simulation is a typical approach to estimate reservoir properties using the history match process by reconciling field observations and model predictions. Performing numerical simulations can be computationally expensive by considering a large number of grids required to capture the spatial variation in geological properties, detailed structural complexity of the reservoir, and numerical time steps to cover different periods of oil recovery. In this work, a simplified physics-based model is used to estimate specific reservoir parameters during CO2 storage into a depleted oil reservoir. The governing equation is based on the integrated capacitance resistance model algorithm. A multivariate linear regression method is used for estimating reservoir parameters (injectivity index and compressibility). Synthetic scenarios were generated using a multiphase flow numerical simulator. Then, the results of the simplified physics-based model in terms of the estimated fluid compressibility were compared against the simulation results. CO2 injection data including bottom hole pressure and injection rate were also gathered from a depleted oil reef in Michigan Basin. A field application of the simplified physics-based model was presented to estimate above-mentioned parameters for the case of CO2 storage in a depleted oil reservoir in Michigan Basin. The results of this work show that this simple lumped parameter model can be used for a quick estimation of the specific reservoir parameters and its changes over the CO2 injection period.

scholarly journals Integrated Modeling Report for CO2 Storage with Enhanced Oil Recovery in Northern Michigan

2020 ◽  
Author(s):  
Srikanta Mishra ◽  
◽  
Mark Kelley ◽  
Priya Ravi Ganesh ◽  
Autumn Haagsma ◽  
...  
Keyword(s):  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Co2 Storage ◽  
Integrated Modeling ◽  
Northern Michigan

scholarly journals CO2 Storage and Enhanced Oil Recovery: Sugar Creek Oil Field Test Site, Hopkins County, Kentucky

2013 ◽  
Author(s):  
Scott Frailey ◽  
Thomas Parris ◽  
James Damico ◽  
Roland Okwen ◽  
Ray McKaskle
Keyword(s):  
Enhanced Oil Recovery ◽  
Field Test ◽  
Oil Recovery ◽  
Co2 Storage ◽  
Test Site ◽  
Oil Field

CO2-water-rock predictions from aquifer and oil field drill core data: The Precipice Sandstone-Evergreen Formation CO2 storage reservoir-seal pair

2019 ◽  
Vol 2019 (1) ◽  
pp. 1-5
Author(s):  
J. K. Pearce ◽  
A. D. La Croix ◽  
F. Brink ◽  
V. Honari ◽  
S. Gonzalez ◽  
...  
Keyword(s):  
Co2 Storage ◽  
Oil Field ◽  
Drill Core ◽  
Storage Reservoir ◽  
Core Data
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