Our flagship course will be delivered, under exclusive license from Philippe Theys, in-house internationally throughout 2019, and can also be delivered to open groups. Contact us!
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Log Data Acquisition and Quality Control
Overview:
This course will teach you to recognize the sources of errors in well measurements, to plan the acquisition of fit-for-purpose data, and to manage the uncertainties associated with non-quality data. The course focus is on log data, but the concepts and methods can be applied to the acquisition and quality control of all well data.
This is a practical course, intended to familiarize the participants with the challenges of working with data that are often of variable quality, of different vintages, acquired by different data acquisition companies, using different conveyance modes (LWD, wireline, drillpipe, coiled tubing, etc), in increasingly challenging well environments – deviated wells, multilaterals, unusual mud systems, etc.
A main outcome of this course is that you will be a more aware and confident generator or user of log data, and hence a more effective and dependable professional.
Designed for:
All professionals who use log and other well data, and who would benefit from an improved understanding of the data acquisition processes at the wellsite and the data exploitation in the office. These include geologists, geophysicists, petrophysicists, reservoir engineers, geotechnical and support personnel, as well as data acquisition engineers.
Learning objectives:
The main objectives of this course are to understand and become familiar with:
Course history:
This is the well-known course designed by Philippe Theys, author of the textbook “Log Data Acquisition and Quality Control” and of the 2012 book “Quest for Quality Data” (both published by Ed. Technip). The course is delivered by Martin Storey under an exclusive license agreement with Philippe Theys. It has been adapted to accommodate the instructor’s style and to include some recent developments in the industry, but the scope and intents of the course are otherwise the same.
Format:
Instructor:
Pre-requisites:
While there is no mandatory pre-requisite for this course, participants would benefit from a prior experience of working with well data and electric logs. Brief reviews of the essential concepts will be covered.
Format:
Duration:
2, 3, 4 or 5 days. In-house, can be combined with an audit of the company well data assets. This course can also be combined with a 2-day course on Petrophysical Data Uncertainty Analysis.
Additional in-house sessions can be delivered upon request. Such a session can be combined with a well data audit or other well data related project.
Contact us to discuss your requirements.