COURSE OVERVIEW
DE0009(KP4) : Integration of Core & Log Data
OVERVIEW
COURSE TITLE | : | DE0009(KP4) : Integration of Core & Log Data |
COURSE DATE | : | Mar 04 - Mar 07 2024 |
DURATION | : | 4 Days |
INSTRUCTOR | : | Mr. Stan Constantino |
VENUE | : | Al Khobar, KSA |
COURSE FEE | : | $ 6750 |
Request For Course |
OTHER SCHEDULED DATES
Date | : | Jun 03 - Jun 06 (4 Days) | Location | : | Istanbul, Turkey | Classroom Fee (US$) | : | $ 7250 | Course Info |
Date | : | Sep 09 - Sep 12 (4 Days) | Location | : | Abu Dhabi, UAE | Classroom Fee (US$) | : | $ 6750 | Course Info |
Date | : | Dec 09 - Dec 12 (4 Days) | Location | : | Dubai, UAE | Classroom Fee (US$) | : | $ 6750 | Course Info |
Course Description
This practical and highly-interactive course includes real-life case studies where participants will be engaged in a series of interactive small groups and class workshops. Reservoir evaluation requires good understanding of rock properties (core and log), logging tools and their measurements and well test and pressure data. Understanding these basics and integrating them in a meaningful way shall help to solve complex reservoir and production issues. This course is designed to provide delegates with a detailed and up-to-date knowledge on core and log integration. It covers the RCAL and SCAL lab core measurements; the reservoir properties from RCAL and its porosity, permeability, grain density and saturation; the reservoir characteristics from SCAL and its relative permeability, capillary pressure, wettability and electrical properties; and the reservoir properties from log interpretation and its comparison with core requirements. During this interactive course, participants will learn the core-log correlation and estimation of permeability from log and core; the rock types and facies from core description and logs; the ectrofacies and poro-perm relation as well as well testing and integration with petrophysical analysis; the reservoir modeling and upscaling, uncertainties and integrating the core; and the logging and testing data for reservoir modeling.
TRAINING METHODOLOGY
This interactive training course includes the following training methodologies:
LecturesWorkshops & Work Presentations
Case Studies & Practical Exercises
Videos, Software & Simulators
In an unlikely event, the course instructor may modify the above training methodology for technical reasons.
VIRTUAL TRAINING (IF APPLICABLE)
If this course is delivered online as a Virtual Training, the following limitations will be applicable:
Certificates | : | Only soft copy certificates will be issued |
Training Materials | : | Only soft copy materials will be issued |
Training Methodology | : | 80% theory, 20% practical |
Training Program | : | 4 hours per day, from 09:30 to 13:30 |
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