Proper assessment of reservoir quality must be continually refined, from prior to exploratory drilling, to discovery, during appraisal and development drilling, and throughout reservoir management. Prediction of reservoir quality is a logical and critically important extension of the description and interpretation of geological processes. Possessing the proper methods to better optimize the use of rock data obtained from reservoir assessments will help to resolve issues and continue the success of reservoir exploration and development. Joann Welton, a Reservoir Quality Consultant, will help geoscientists optimize their use of rock data and provide basic understanding of predictions and issues that arise from reservoir assessments. Course attendees will gain working knowledge that when implemented can have immediate effects in real time situations. The course is part of the 2014 AAPG Summer Education Conference and will be held on Wednesday, June 18, at the Summit Conference Center in Aurora Colorado. For more information: Using Rock Data for Reservoir Quality Assessment – SEC

Presentation Details

Event: Summer Education Conference
Presentation: RQ Toolkit: Using Rock Data for Reservoir Quality Assessment
Presenter(s): Joann E. Welton – RQ Consultant
Date: June 18,2014 (Wednesday)
Location: The Summit Conference Center, Aurora, Colorado

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.

Objectives
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.

Course Content

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.

Conference Content

2014 Summer Education Conference

The four concurrent sessions allow attendees to mix and match according to their interests and training needs. Courses for the conference may be purchased individually. These individual prices are reflected in the pricing on the course descriptions.

Course notes will be provided in digital format on CD only, so laptops with CD drives are required for all courses. If you do not have access to a laptop computer with a CD drive, please contact the AAPG Education Dept. for an alternate method to download the digital course notes.

** For registration and full event details please visit: HERE! **

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