# Reservoir Simulation Workshop Certification

RENG/RESSIMU

## Who should attend?

• This course provides an in-depth practical understanding of dynamic reservoir simulation, covering principles of simulation as well as data reviewing and formatting, with an immediate application to a full field development project using real field case data.
Audience :
• Experienced geoscientists, reservoir engineers, petroleum engineers and production engineers willing to deepen their knowledge and get a practical insight in black-oil dynamic reservoir simulation.

Level : Proficiency

## Course Content

• ### Part 1: RESERVOIR SIMULATION COURSE

• Introduction to reservoir simulation:
• Physical aspects & basic laws.
• Mathematical & numerical aspects (diffusivity, transport & general equations).
• Types of reservoir simulation models: black oil, compositional, thermal, chemical and double porosity model.
• Introduction to the simulator (ECLIPSE™):
• Simulation software presentation.
• Practical exercise (building a model from A to Z).
• Space & time discretization:
• Grid properties (Cartesian grid, radial grid, corner point grid, etc.) & key elements to take into account.
• Time step management & main events to take into account.
• Petrophysics:
• Data review & petrophysical upscaling.
• Fluids:
• Data review & formalisms used by the simulator.
• Use of black oil data set & integration of lab experiments (constant composition expansion, constant volume depletion).
• Initial state:
• Data review & formalisms used by the simulator (equilibration regions).
• Identification of fluids in place per region.
• Aquifers representation and modeling:
• Formalisms used by the simulator (gridded or analytical aquifers).
• Review of different possibilities (bottom, edge, transient, steady state, semi steady state) & Hurst & Van Everdingen tables.
• Flow representation:
• Formalisms used by the simulator (transmissivity multipliers, end point scaling of capillary pressures & relative permeability).
• Identification of production mechanisms & material balance analysis.
• Wells representation:
• Formalisms used by the simulator (Inflow Performance & numerical PI, outflow performance & VFP tables).
• Practical exercise using the simulation software.
• History match:
• Objectives & methodology.
• Production data & identification of data to match.
• Production mechanisms & identification of matching parameters.
• History matching strategies (pressure, saturation, early & late times) & uncertainty reduction.
• Production forecast:
• Objectives & methodology.
• Integration of well representation & production constraints.
• Estimation of future productions linked to different scenarios and identification of remaining uncertainties.
• Identification of recommended scenario and conclusions.
• ### Part 2: FIELD DEVELOPMENT PROJECT WORKSHOP

• Field case presentation and critical analysis of the dataset:
• PVT data.
• Kr-Pc data.
• Accumulation.
• Analysis of various production schemes:
• Natural depletion down to bubble point, below bubble point, down to maintained optimum pressure.
• Water injection.
• History matching:
• Matching field pressure, wells pressure, water-cut and GOR.
• Select the matching parameters and related range.
• Decide on the level of acceptability of the history match.
• Production forecast:
• Using the selected previously matched dataset, perform a development study.
• Investigate natural depletion and water injection (and possibly WAG): optimize recovery adding producers, injectors, finding out their optimal location.
• Recommend an FDP based on relevant economic calculations (NPV, IRR, Profitability Index, etc.).

## Learning Objectives

• Upon completion of the course, participants will be able to:
• discuss the fundamental concepts of dynamic reservoir simulation,
• build a simple reservoir simulation model (included data gathering, data QC) from real data set,
• carry out a simple reservoir simulation study (included basic history matching and production forecast) from a real field case black-oil simulation model,
• discuss, explain and justify decision making in optimizing a simple field development taking into account uncertainties and economics.

## Ways & Means

• Highly interactive training by industry’s specialist lecturers.
• Intensive 10-days training alternating courses on black-oil dynamic reservoir simulation using simple and didactic data sets and a teamwork workshop focused on optimizing an oil field development project investigating various production scheme.
• Software used during workshops: with courtesy of Schlumberger.

## Certification

• An international recognition of your competencies.
• A Advanced Certificate is delivered.
• An expertise confirmed in Reservoir Simulation Workshop .