Subsurface & Reservoir
Reservoir Engineering & EOR
Develop reservoir evaluation and recovery planning skills through field assessment, AI workflows and development studies.
Courses in Reservoir Engineering & EOR
9 course optionsThis area covers reservoir evaluation, development planning and enhanced oil recovery, including AI-assisted analysis and digital models. It is for reservoir engineers, petrophysicists and development teams comparing recovery options and testing field assumptions.
Training Workshop on Enhanced Oil Recovery
Screen enhanced oil recovery methods against reservoir evidence and pilot requirements.
Petrophysical Evaluation Using AI
Review AI-assisted petrophysical evaluation, data preparation and validation.
Permeability Estimation from Petrophysical Properties Using AI
Evaluate AI permeability estimates against reference measurements and uncertainty.
Petrophysical Log Prediction Using AI
Assess predicted petrophysical logs, training coverage and interpretation limits.
Use of CO2 and H2 Gases in EOR Methods (WAG, Foam, etc.) and Storage – Field Experience in Carbonate Reservoirs
Review gas applications, WAG and foam concepts, and storage assessment in carbonate reservoirs.
Preparation of a Standard MDP for a Field, Including Surface/Downhole Facilities and Economic Analysis
Link field development objectives, facility requirements and economic assumptions.
Operational Design and Field Pilot Water Injection (Carbonated Water, Smart Water, Low Salinity Water & Chemicals)
Plan water injection pilots around fluid compatibility, monitoring and evaluation criteria.
Advanced Gas Condensate Reservoir Management
Assess gas condensate performance and recovery options as reservoir conditions change.
Design and Development of Digital Twins and AI Applications in the Oil & Gas Industry
Define digital twin and AI use cases with data integration and validation requirements.
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6 courses shown.
Who it suits
Reservoir engineers, petrophysicists and field development teams.
Professional value
Improve assessment of recovery options, model uncertainty and development assumptions.
Delivery options
Online, on-site or hybrid formats depending on the selected programme.
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