PROGRAM'S BACKGROUND

Reservoir characterization is the process between the discovery phase of a property and the reservoir management phase. The process integrates the technical disciplines of geology, geophysics, reservoir engineering, production engineering, petro physics, economics, and data management. Key objectives of reservoir characterization focus on modeling each reservoir unit, predicting well behavior, understanding past reservoir performance, and forecasting future reservoir performance. Such factors, in addition to staffing needs and expenditures, assert a strong impact on plans for the development and performance of a field. This program illustrates the reservoir characterization process so that each member of the RC team and each of its customers (other departments and management) can appreciate the resulting interpretations and may even contribute to building the RC model.

The modern team approach to reservoir characterization describes productive zones more reliably through the integration of disciplines, technology and data. Increase your proven reserves, discover by passed pay, reduce development time and costs, improve production rates, and rejuvenate old fields through the skills learned in this program. The models developed during the program are based on the application of state of the art technical applications within the framework of a multi-disciplinary team approach. The program is process based and focuses upon:

›       Understanding the applicability of the measurements and interpretations from the participants discipline to other adjacent disciplines

›       Understanding information from other disciplines and the uncertainties and risks involved in its gathering/interpretation

›       Awareness of the latest technologies and working principles evolving on the cutting edge of the industry

›       Managing a large complex project to solve business problems in the most efficient manner and particularly when working in a difficult environment (multi-disciplinary teams, bosses outside your expertise, cross purposes from disciplines, etc.)

›       Working with multiple working hypotheses throughout the project until conclusively proven otherwise 

PROGRAM'S OBJECTIVES

This Program’s Attendees Will Be More Able To:

›       Develop an integrated multi-disciplinary reservoir model that determines the internal and external geometry of the reservoir, distribution of reservoir properties (static model) and flow within the reservoir (dynamic model)

›       Predict local variations within the reservoir

›       Explain past reservoir performance

›       Predict future reservoir performance of field

›       Analyze economic optimization of each property

›       Formulate a plan for the development of the field throughout its life

›       Convert data from one discipline to another

›       Extrapolate data from a few discrete points to the entire reservoir

›       Calibrate seismic data to the reservoir model

›       Minimize development expenditures

›       Facilitate management decisions concerning the property, financial requirements, staffing needs and expenditures

›       Develop appropriate and accurate financial models useful to company management

›       Help the reservoir characterization team work together more efficiently

PROGRAM'S ATTENDEES

›       Geologists

›       Geophysicists

›       Reservoir Engineers

›       Production Engineers

›       Petrophysicists

›       Exploration & Production Managers

›       Team Leaders

›       Research Scientists

PROGRAM'S OUTLINE

›       Defining the business purpose

›       Clarifying the problem

›       Negotiating deliverables

›       Project management in Microsoft Project format

›       Data for reservoir characterization

›       Sources

›       Scale of the data/extrapolation to other areas

›       Acquisition planning

›       Cross disciplinary applications/integration

›       Quality/error minimization

›       Data management

›       Geo-statistics in reservoir characterization

›       Applicable techniques

›       Data viability and applicability

›       Multiple working models

›       Ranking of models with multi-source data

›       Reservoir models

›       Sequence stratigraphic

›       Geological, geophysical

›       Reservoir engineering

›       Flow unit

›       Preliminary production

›       Economics and risking

›       Volumetric

›       Probability of success

›       Financial returns of project

›       Organizational structure

›       Team styles

›       Team communications

›       Assessment and evaluation

›       The holistic reservoir characterization model

ADDITIONAL DETAILS