GEO 101
Sedimentological Input to Static Carbonate Reservoir Model
Reservoir characterization provides critical information on the 3D distribution and realization of reservoir heterogeneity and petrophysical properties.
Sedimentological Input to Static Carbonate Reservoir Model
COURSE SCHEDULE
| Code | Date | Location | price (€)* |
|---|---|---|---|
| GEO 101 | 6 – 10 May 2024 | Online | 1990 |
| GEO 101 | 15 - 19 Jul 2024 | Online | 1990 |
| GEO 101 | 18 – 22 Mar 2024 | Dubai | 3990 |
| GEO 101 | 12 – 16 Aug 2024 | Stavanger | 3990 |
* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!
COURSE OVERVIEW
Reservoir characterization provides critical information on the 3D distribution and realization of reservoir heterogeneity and petrophysical properties. This is essential input to both static and dynamic reservoir models, and is crucial for understanding flow in the reservoir during production.
This 5-day training course will focus on carbonate sedimentology, diagenesis and reservoir characterization, and how to implement these into a static reservoir model. The focus will be on interpretation and handling of geological data as input to the model rather than the IT technical development of the model. The aim is that course participants will be able to deliver adequate sedimentologic input data to geo-modellers. The input data will include the spatial distribution of sedimentary/diagenetic facies, porosity, permeability and MICP-based saturation heights.
COURSE OUTLINE
5 days
Day 1
o Distinctive aspects of carbonate rocks
o Mineralogical stability and secondary porosity
o Basic components of carbonate rocks
o Faunal assemblages
o Carbonate classification
o Platform profiles and sedimentological implications
Day 2
o Depositional sequences
o Sedimentary facies
o Diagenesis
o Play types
Day 3
o Facies models
o Pore-type definitions and application into reservoir modelling
o Pore-types and wireline log: use of artificial neural network
Day 4
o Porosity and pore-type based saturation modelling
o FWL vs. OWC/GOC/GWC: Porosity and pore-type controls
o Flow zones and barriers
o Special challenges of vuggy/fractured reservoirs
Day 5
o Field-wide predictions of different reservoir parameter: effective porosity
o Field-wide predictions of different reservoir parameter: permeability
o Field-wide predictions of different reservoir parameter: saturatio
INSTRUCTOR
Arve Lønøy
Arve Lønøy has 37 years of experience as a carbonate geologist within exploration, production/field development, and research. He also has 6 years of experience on siliciclastic North Sea reservoirs. His main specialty is carbonate sedimentology and diagenesis with special emphasis on reservoir characterization. He has developed several proprietary techniques for static reservoir modelling. Arve published (AAPG 2006) a new pore-type classification system that is applied in predictions of permeability, effective porosity, saturation heights and HC contacts.
The predictions are further aided by the use of artificial intelligence, using a time efficient methodology that he has developed. This new methodology for reservoir characterization, and how it is applied in reservoir modelling, was approved by Beicip-Franlab in 2012 audit.
FAQ
DESIGNED FOR
The course is designed for geoscientists with a basic understanding of carbonate sedimentology, geomodellers who wants to construct geomodels and sedimentologists.
COURSE LEVEL
Basic to Intermediate
LEARNING OBJECTIVES
The participants will learn:
The participants will learn:
• Sedimentary facies and diagenesis and how these affect reservoir properties
• Rock typing based on pore-type variation
• Use of artificial intelligence in making predictions in non-cored intervals
• Integration of sedimentological and petrophysical data
• Spatial distribution of reservoir properties, from well scale to field scale
• Reservoir Reservoir characterization and model building
REGISTER
Registration is now OPEN!
* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!
For more details and registration please send email to: register@petro-teach.com
REQUEST IN HOUSE
Would you like a PetroTeach training course delivered at a time or location to suit you?
click for request in house