INVESTIGATION AND PREDICTION OF VISCOSITY OF SPUD TYPE DRILLING MUDS ADDED BARITE, CALCIUM CARBONATE AND OLIVINE BY ARTIFICIAL NEURAL NETWORKS WITH LIMITING DATA | Health & Environmental Research Online (HERO)

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Citation
Tags

HERO ID

8868002

Reference Type

Journal Article

Title

INVESTIGATION AND PREDICTION OF VISCOSITY OF SPUD TYPE DRILLING MUDS ADDED BARITE, CALCIUM CARBONATE AND OLIVINE BY ARTIFICIAL NEURAL NETWORKS WITH LIMITING DATA

Author(s)

Erdogan, Y; Demir, MH; Kok, OE

Year

2021

Is Peer Reviewed?

Journal

Fresenius Environmental Bulletin
ISSN: 1018-4619
EISSN: 1610-2304

Volume

Issue

Page Numbers

2169-2179

Web of Science Id

WOS:000626629800067

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101405937&partnerID=40&md5=edc609073898aec245b2b091e1af32b1
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Keywords

Viscosity; Drilling; Artificial neural networks (ANN); MATLAB