Crain's Petrophysical Handbook | Textbooks And Reference ManualsAccuracy is a measure of the correctness of the result and is generally depended on how well the systematic errors a reproductible inaccuracy introduced by faulty design, inadequate calibration or a change in borehole are controlled and compensated for. Precision is depended on how well random errors errors that cannot be reproduced and are mostly related to the physics of a measurement are analysed and overcame [ citation needed ]. Products of wireline logging are wireline logs or well logs. Unlike measurements in well-known and controlled laboratory conditions, logging is performed in-situ and can be affected by different possible failure sources and susceptible to systematic and random errors. The objective of wireline logging job is to obtain a permanent continuous record of the rock properties penetrated by the wellbore with the end result of wireline logs, fluid, and rock samples. Of all the well data sets recorded and collected, well logs are the most valuable as they are vital for reservoir and formation evaluation. Wireline well logs are then combined with drilling data, mud logs , and measurements while drilling MWD and coring information in order to choose correct testing and completion intervals to properly evaluate the production potential of the well.
Wireline Log Quality Control Reference Manual
June , Cite as. Quality assurance QA and quality control QC are two quality management processes that are integral to the success of metabolomics including their application for the acquisition of high quality data in any high-throughput analytical chemistry laboratory. QA defines all the planned and systematic activities implemented before samples are collected, to provide confidence that a subsequent analytical process will fulfil predetermined requirements for quality. QC can be defined as the operational techniques and activities used to measure and report these quality requirements after data acquisition. This tutorial review will guide the reader through the use of system suitability and QC samples, why these samples should be applied and how the quality of data can be reported.
A highly practical course to learn about: • Conditions and sequence of log data acquisition. • Main tools and characteristics. • Methods of error quantification.
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USB Data Logging with an Agilent 34972A Data Acquisition System
The main publications: - Quest for Quality Data Ed. Associate Editor of the magazine Petrophysics. Founder and writer of "Le Log. While the first well logs recorded seventy years ago had no provision for data quality control, the development of increasingly sophisticated logging techniques has led to the introduction of a large number of tests to validate acquired data. Log quality can be assured by stringent control of depth, calibrations, signal processing and operating procedures. This work gives a thorough description of these features. The meaningful interpretation of well logs depends on valid input.
Welcome To C rain's P etrophysical H andbook. Crain , P. Reformatted with corrections This webpage version is the copyrighted intellectual property of the author. Do not copy or distribute in any form without explicit permission.
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transcribed in any form or by any means, electronic or mechanical, including photocopying and recording, without the prior written permission of the publisher. While the information presented herein is believed to be accurate, it is provided as is without express or implied warranty. Other company, product, and service names are the properties of their respective owners. It is performed through the observation of quality indicators and can be completed successfully only when a set of specified requirements is available to the log users.