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Apply analytical and numerical simulation techniques to the development, testing and refining of a reservoir model, and the generation of an optimal reservoir exploitation plan. Upon completion of this module, the participant should be able to:define reservoir simulation objectives, define simulator geometry and dimensions, and assign flow equations to the proposed model, define simulator grid and boundary conditions, compile reservoir model input parameters, develop finite-difference approximations to solve the flow equations, plan numerical simulation computer runs and interpret the results, and use simulation results to determine the optimum exploitation scheme.

Acquire and analyze the necessary data for optimizing reservoir surveillance. Upon completion of this module, the participant should be able to acquire and analyze pressure data, PVT reports, production records, injection records, production tests, fluid sampling, injectivity tests, and other information for the purpose of monitoring reservoir behavior.

Introduces important depositional environments and processes. Explains the geological, geophysical and engineering information vital to reservoir characterization, and its use in reservoir management.

Optimize reservoir management and control decisions using surveillance techniques, information systems, technical indicators and financial guidelines. Upon completion of this module, the participant should be able to do the following: manage available resources (e.g., reserves, assets, personnel, budget) in order to maximize hydrocarbon reserves and minimize recovery cost and make appropriate reservoir management and control decisions with the aid of surveillance techniques, information systems and technology applications to generate pressure and production histories, maps and other key reservoir data.

Understand and apply reservoir surveillance and control techniques to confirm the materialization of the proposed strategies in the reservoir exploitation scheme. Upon completion of this module, the participant should be able to compare actual reservoir behavior to various performance prediction tools and account for differences, evaluate the effectiveness of the exploitation strategy, and explain reasons why actual reservoir performance deviated from initial predictions.

Integrated Reservoir Characterization pulls together data and talents from a number of disciplines to optimize field production. This topic describes the contributions of the geologist, geophysicist, petroleum engineer, and petrophysicist as they combine data and interpretations to build a comprehensive model of the reservoir.

Define the properties of the reservoir rock/fluid system.

This SPE Live focuses on the critical role of SCAL data in subsurface analysis and modeling within the oil industry. It highlights the development and

Friday, March 8, 2024 | 09:00AM – 10:30AM CT Relative permeability and capillary pressure are multi-

Friday, February 23, 2024 | 09:00AM - 10:30AM CT Participation in over 150 carbon capture and sequestration (CCS) projects spanning more tha

Pressure transient analysis (PTA) is an important tool for petroleum engineers to characterize and evaluate oil and gas reservoirs. This is particular

Do not underestimate the complexity of CO2 injection behavior for full scale projects. The Aquistore CO2 Storage Project is an integral component of S

Safe storage of CO2 in deep saline aquifers requires that the injected CO2 is contained within the geological formation and its conformance is predictable. This presentation summarizes a CO2 injection application made to the Saskatchewan Ministry of Energy for safe storage of CO2 in a deep saline aquifer.

In this SPE Tech Talk, Gareth Rogers, Research Scientist for CGG’s Geology Laboratories, discusses how the data produced through these techniques can be harnessed to quantify the complete mineral and textural attributes of reservoir rocks.

Dynamic data, acquired using wireline formation testing or well testing techniques, are used by operators to address uncertainties associated with res