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RQ Toolkit: Using Rock Data for Reservoir Quality Assessment
- INSTRUCTOR :
- Joann E. Welton, Consultant, Houston, TX
- June 18, 2014
- The Summit Conference Center, Denver, CO
(if purchased individually)
Registration for the entire week is $1,795 for members, $2,095 nonmembers. Goes up to $1995/$2295, and/or individual course prices increase by $50/course day on 5/19/2014. Includes refreshments and buffet lunch each day in addition to course notes.
No refunds for cancellations after 5/19/2014.
- .75 CEU What is a CEU?
Who Should Attend
Exploration and production geoscientists and engineers, managers, and geotechs interested in optimizing their use of rock data, to predict and assess reservoir potential in siliciclastic reservoirs. Previous experience analyzing rocks and working with logs is desirable, but not required.
By the end of the course, participants should have a basic understanding of the following:
- What are the primary controls on reservoir quality, including the importance of clay and its impact on both quality (porosity, permeability and Sw) and log response
- Be able to select the appropriate analytical tools to address common RQ problems
- Be able to design a cost-effective RQ sampling plan and analytical program which can be used for a variety of purposes, ranging from reservoir prediction modeling to qualitative RQ assessments
- Know how to request and QC, typical RQ vendor products
- Understand the importance of integrating RQ data with sequence stratigraphy and basin modeling etc. to enhance reservoir prediction and identify anomalous porosity zones.
This course is designed to provide a general background in optimized reservoir quality assessment using rock data (core, SWC, cuttings, outcrops). Among the practical tips provided, will be insights into “how to”: 1) identify the key RQ issues in frontier to mature fields, 2) design an analytical program to address both reservoir and log issues, 3) work with and QC vendor products, and 4) integrate basic RQ data into geologic and reservoir models.
The importance of rock composition and texture, and its impact on porosity and permeability, integrated with basin modeling to evaluate sandstone evolution and predict reservoir quality will be stressed. The primary analytical tools currently used to evaluate reservoir quality, will be reviewed as to their strengths and weaknesses. A workflow and simple checklists will be provided as a reference to assist participants in applying these principles later in their own projects. Examples illustrating the important role RQ has played in major field discoveries, will also be provided.