A machine learning approach to filtrate loss determination and test automation for drilling and completion fluids-Reference-Cited by-同舟云学术

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A machine learning approach to filtrate loss determination and test automation for drilling and completion fluids

Published:2020-03 Issue: Volume:186 Page:106727
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Gul Sercan,van Oort Eric

Funder

University of Texas at Austin

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference31 articles.

1. Real time advanced surface flow analysis for detection of open fractures;Al-Adwani,2012

2. Real time advanced flow analysis for early kick/loss detection & identification of open fractures;Al-Muraikhi,2013

3. Recommended Practice for Field Testing of Water-Based Drilling Fluids,2009

4. Recommended Practice for Field Testing of Oil-Based Drilling Fluids,2005

5. Use of mud microloss analysis while drilling to improve the formation evaluation in fractured reservoir;Beda,2001

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