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Design of Logging-While-Drilling Data Quality Analysis Algorithms for A Geosteering Software ModuleNormal access

Authors: A. Perlova and A. Karimov
Event name: Horizontal Wells 2019 Challenges and Opportunities
Session: У04. Петрофизика и керн в горизонтальных скважинах
Publication date: 27 May 2019
DOI: 10.3997/2214-4609.201901883
Organisations: EAGE
Language: Russian
Info: Extended abstract, PDF ( 525.38Kb )
Price: € 20

It is quite common for LWD tools to be unstable and the acquired data to be of poor quality. Poor quality LWD data could lead to inaccurate assessment of reservoir properties and net pay, which consequently lead to incorrect decisions during geosteering, uncertainties in completion and wrong assessment of expected productivity of wells. In the paper, authors discuss possible approaches for LWD data quality control and propose algorithms for its creation as a QC module in a geosteering software. This module is expected to be used in order to minimize the uncertainties connected with poor quality LWD data.

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