Integrated Geological Models for Assessing Uncertainties in Production Data

By: Dominique Guérillot 



Instructor

Prof. Dr Dominique Guérillot (Texas A&M University, Qatar)

Duration

3 & 6 Dec 2021:
4:00PM-8:00PM CET
4 hours/day

Disciplines

Engineering – Reservoir Management

Level

Intermediate

Language

English

EurGeol

4 CPD points



Keywords

3D ANISOTROPY CAPILLARY PRESSURE CARBONATES CASE STUDY FACIES FLOODING FLUID FRACTURES GEOCELLULAR GEOSTATISTICS GROUNDWATER HISTORY-MATCHING OIL AND GAS PERMEABILITY RESERVOIR CHARACTERIZATION RESERVOIR ENGINEERING RESERVOIR MODELING UNCERTAINTY WORKFLOWS


Course Format

The EAGE Interactive Online Short Courses bring carefully selected courses of experienced instructors from industry and academia online to give participants the possibility to follow the latest education in geoscience and engineering remotely. The courses are designed to be easily digested over the course of two or three days. Participants will have the possibility to interact live with the instructor and ask questions.

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Course Description

The aim of the course is to recap main techniques required to build an integrated reservoir model and to explain different potential workflows for field development and/or history matching processes. This course will include explanations of upscaling techniques and the use of proxies for uncertainty assessment of production forecasts. All these methods will be illustrated and applied to the Brugge case.



Course Objectives

Upon completion of the course, participants will be able to:
• Understand the fundamentals of Geostatistics and Spatial Modeling
• Calculate a variogram
• Know what are the principal of Kriging
• Know the main methods of Geostatistical Simulations for modeling heterogenous and fractured reservoirs
• Be familiar with the main Upscaling technics used in reservoir simulators
• Know how to use proxy models for assessing Uncertainty in Production Forecasts
• Application to the Brugge field will be given to illustrate the methodology



Course Outline

Integrated Geological Modeling and Reservoir Simulation
Geostatistics and Spatial Modeling
Variogram
Kriging
History Matching Principles

Geostatistical Simulations
Limitations of Kriging
Geostatistical Simulation
What do we want from a simulation?
Principles of stochastic modeling
Pixel based model
Object based model
Sequential Gaussian Simulation (SGS)
Random Character Properties of SGS
Scale
Cell Sizes & Ranges
Indicator Formalism
Sequential Indicator Simulation

Upscaling
Why Upscaling is Needed?
Orders of magnitudes for the
Geological Model and the Reservoir Simulators
Is it necessary to take into account all heterogeneities?
Impact on CPU cost Can we replace heterogeneities by homogeneity?
Is it right to call “equivalent” the upscaled permeabilities?
The upscaling problems considered here
Upscaled Values Depends on Flow
Upscaling of Geo-cellular Models
Upscaling in Integrated Studies
Upscaling of porosity Upscaling of absolute permeability
Differences between additive and non additive variables
Single phase
Darcy’s law
Single Phase Flow around Wells
What happenS in 1 D?
Arithmetic Average
Harmonic Average
Geometric Average
Weighted Arithmetic Average
Weighted Harmonic Average
What happens for a layer cake model?
Upscaling generates anisotropy
How to handle barriers & faults?
How to handle fractures?

Uncertainty Assessment in Production Forecast Intuitive Workflow
Recommended Workflow
Artificial Neural Network as Proxy
Applications on case studies
Application to Brugge field



Participants' Profile

The course is primarily addressed to reservoir geologists and reservoir engineers involved in building reservoir models but could also be of interest to production engineers who have to deal with the consequences of uncertainty in reservoir performance.



Prerequisites

Darcy’s law, basic probability and statistics.



About the Instructor

 Prof. Dr Dominique Guérillot

Former member of the Executive Committee of IFP and Program Director for the Upstream R&D of Saudi Aramco, he is focusing in Oil and Gas Exploration and Production including Unconventional, CO2 EOR and Carbon storage. After a PhD in Applied Mathematics, he joined IFP in 1982 in the Reservoir Engineering Dpt. He started his career in the Exploration and Production sector developing Expert system for selecting EOR methods and Advanced Compositional Reservoir Simulators for EOR (CO2 and thermal methods).
In 1985, he began cooperating with geologists and he invented with the Paris School of Mines the first software package integrating reservoir characterization and flow simulations in porous media proposing innovative methods for upscaling absolute permeabilities.
After being the Director of the Geology and Geochemistry (95-01, in 2001, he became member of the Executive Committee of IFP and Managing Director of Exploration and Reservoir Engineering Centre with a total budget of 30 Millions of Euros. Consequently, IFP nominated him as board member of several Exploration and Production subsidiaries of IFP: Beicip-Franlab and RSI in France, IFP MEC in Bahrain, etc. He developed new strategic orientations for the business unit he was in charge modifying its business model to generate revenues based on royalties through the development of several strategic marketed software for IFP. In 2009, he created a Young Innovative Company (YIC), Terra 3E, in Energy and Environment: http://www.Terra3E.com developing innovative plug-ins in Petrel software among which the first tool for accurate calculations of fluids in place for gas and oil shales and upscaling transmissivities. From 2010 to 2013, he was senior expert for Petrobras, Brazil. In 2012, he served the European Commission for selecting R&D projects on CO2 Storage.
In 2013, Qatar Petroleum called Dominique Guérillot for developing their R&D Centre at the Qatar Sciences and Technology park in Doha, Qatar. He is currently full professor at Texas A&M University in their campus of Qatar. He published more than 50 full and refereed papers, holds 5 patents, is member of the IJOGCT editorial team, the SPE and EAGE associations, is referee of the Oil & Gas Science and Technology (OGST), and member of the editorial board of the Petroleum Geoscience journal of the Geological Society.





EAGE supports its members and the Geoscience community in general by offering a 35% discount on the regular prices for our Interactive online short courses during these difficult times.

Registration Fees

Registered and Paid Until 25 November 2021 From 26 November 2021
Education Package1 Credit1 Credit
EAGE Member Price $140 $190
Non-Member Price $195 $245
*Non-Member price for this product does include EAGE Membership




Economic Hardship Programme

EAGE also aims to assist its long-term members who are currently unemployed by offering a contribution towards educational programmes. Members who meet the requirements of the programme can attend any EAGE course for a discounted fee equal to €75. Click here to read more and apply.

Cancellation and Changes Policy

Registration fees will be refunded as follows:
  • Cancellation received before 19 November 2021: Refund will be processed after the event had ended. Amount will minus an administration fee of $35 per person.
  • Cancellation received on or after 19 November 2021: No refund will be made.
  • Transferring of your registration to another participant will cost $35, as administration fee, plus any differences in delegate types, where applicable (for instance when changing a registration from a member to a non-member).
  • For an overview of all EAGE Registration Terms and Conditions please click here to download.