Oil and Gas
Oil and Gas | Reservoir Development
A Critical Guide to Reservoir Appraisal and Development
This course is designed to introduce the decision-based technical workflow that is key to appraisal and development projects. Participants will learn the background theory behind all aspects of reservoirs, from the micro- to seismic-scale, integrating the static and dynamic domains and how to model them. The course covers a range of disciplines and topics, using an integrated subsurface approach with reference to a robust business and commercial framework.
Business Impact: Participants will be empowered to collaborate between disciplines and add value in the appraisal and development of oil & gas assets.
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Schedule
Duration and Training Method
This is a classroom or virtual classroom course comprising a mixture of lectures, discussion, case studies, and practical exercises.
Course Overview
Learning Outcomes
Participants will learn to:
- Critically evaluate the sources of subsurface data that contribute to the understanding and development of hydrocarbon reservoirs.
- Evaluate how to combine uncertainties and select key variables in a probabilistic evaluation to manage uncertainty.
- Assess fluid properties and PVT for reservoir description, material balance, and flow assurance.
- Understand the controls on the pore scale properties of both clastic and carbonate reservoirs and the principle of flow zones.
- Evaluate sedimentary reservoir architecture and understand its impact on connectivity and fluid flow.
- Asses the possible impact of faults and fractures on reservoir productivity.
- Evaluate the use of both static and dynamic reservoir models as part of the decision-making process.
- Evaluate how reservoir energy, fluid responses, drive mechanisms, and EOR processes are assessed and managed to maximise planned recovery.
- Apply the technical aspects of well testing to appraisal and development decisions.
- Assess the Reserves and resources booking philosophy.
Course Content
Introduction
- Business framework
Data and uncertainty
- Data positioning
- Petrophysics and wireline data
- Pressure and contacts
Heuristics, biases, risk and uncertainty
- Range estimation
- Heuristics
- Risk and uncertainty
- Decisions with uncertainty
Reservoirs at a pore-scale
- Clastic reservoirs
- Carbonate reservoirs
- Clays and production issues
Reservoir Architecture
- Reservoir architecture and connectivity
- Faults and naturally fractured reservoirs
- Flow zones
- Waterflood and heterogeneity
- Unconventional reservoirs or analogues*
Fluids and reservoir mechanisms
- Fluids and PVT data
- Multi-phase flow
- Reservoir mechanisms
- Secondary and tertiary recovery
- Gas and aquifers
- Well productivity
Value of Information, well productivity and testing
- Parametric Combining
- Value of information (appraisal)
- Value of information (intervention)
Static reservoir modelling
- Framing
- Model construction
- Scale and variance
- Facies and property models
- Modelling for comfort
- Upscaling
Probability estimation, dynamic modelling, and resources
- Well productivity
- Well testing
- Reservoir simulation
- Reserves and resources
Who Should Attend and Prerequisites
The course is designed for geoscientists, petrophysicists, and reservoir engineers who are involved in field appraisal and development.
Team leaders and asset managers will also benefit.
Multi-disciplinary asset teams would find particular value in attending as a group.
Instructors
Pete Smith
Background
Pete Smith is Director of ReganSmith Associates, a company offering training and consultancy to the Oil and Gas Industry. Pete trained as a reservoir engineer and researcher firstly at the UK government research Institute of Hydrology, Oxford, before joining BP’s research team to lead the development of novel modelling methods; building the first stochastic models to describe multi-phase fluid-flow in reservoir rocks. Moving into BP operational activities, he was responsible for creating the processes for managing the uncertainty in value and reserves in new field developments that became the BP standard approach.
Assignments with BP included lead engineer on Dukhan, Arab C Reservoir, Qatar; the appraisal and financial sanction of the Harding, Andrew, Foinaven and Schiehalion fields in the UKCS and managing the operated production in the Gulf of Mexico. Pete was also the founding director of the BP Institute at Cambridge University concerned with fundamental research in fluid-flow and was responsible for building their environmental technology across the BP group as Technology Vice President.
Pete helped establish the new Engineering University in Trinidad & Tobago as Associate Provost (R&D) and Professor of Petroleum Engineering between 2004 and 2008. On return to the UK, Pete became Principal Advisor in Reservoir Engineering at RPS Energy leading company reserve audits. In 2010 Pete led the Upstream Risk Management advisory activity and in 2011 became Chief Reservoir Engineer.
Affiliations and Accreditation
BSc Mathematics
MSc Differential Equations
PhD Earth Sciences
C Eng. FEI Chartered Petroleum Engineer
Courses Taught
N401: Multi-Disciplinary Skills for Field Development Planning and Approval
N412: A Critical Guide to Reservoir Appraisal and Development
N415: Reservoir Characterisation for Appraisal and Development
N541: Petroleum Economics, Rick and Uncertainty
N584: Storage Exploration – Screening and Selection of CO2 Sites
N680: Multi-Disciplinary Skills for Sustainable Field Development Planning for Hydrocarbon and CCS Projects
N716: Reservoir Engineering Aspects of Reservoir Modelling
N721: Resource Risk and Economic Evaluation
N952: Resource Assessment and Assurance
N954: Practical Approaches to Increased Recovery
N995: Managing Uncertainty and Risk in Appraisal and Development
N996: Gas Reservoir Engineering