Volume 21 (2023)
Volume 20 (2022-2023)
Volume 19 (2021-2022)
Volume 18 (2020-2021)
Volume 17 (2019-2020)
Volume 16 (2018-2019)
Volume 15 (2017-2018)
Volume 14 (2016-2017)
Volume 13 (2015-2016)
Volume 12 (2014-2015)
Volume 11 (2013-2014)
Volume 10 (2012-2013)
Volume 9 (2011-2012)
Volume 8 (2010-2011)
Volume 7 (2009-2010)
Volume 6 (2008-2009)
Volume 5 (2007-2008)
Volume 4 (2006-2007)
Volume 3 (2005-2006)
Volume 2 (2004-2005)
Volume 1 (2003-2004)
Assessment of Cutting and Drilling Mud Heavy Metals and Organic Matter Contamination Using Limit Learning Regression Algorithm Technique of Artificial Intelligence in one of the Oil Fields of Southern Iran

Saeid Ahadi; َAndisheh Alimoradi; Hamid Sarkheil; Mahyar Kalhor Mohammadi; Mahdi Fathi

Volume 21, Issue 1 , April 2023, , Pages 163-180

https://doi.org/10.48308/envs.2021.1010

Abstract
  Introduction: The process of extraction and exploitation of oil and gas resources requires the cycle of production, sending, and recycling of drilling mud or drilling fluid, so achieving the right combination of drilling mud and its recycling is an essential and fundamental matter in the industrial oil ...  Read More