Abstract

Understanding the behavior of the borehole temperature recovery process, which influences drilling operations, requires an adequate estimation of fluid temperature. The presence of salt in a saline formation changes the composition of the annular fluid and has a significant impact on the fluid temperature distribution during drilling operations. As a result, while drilling a saline formation, it is vital to examine the key parameter that determines an accurate estimate of fluid temperature. Using python software and statistical quantitative methods, this study proposes a simplified user-friendly computational system that analyzes the drilling fluid systems performance evaluation and selection optimization.

The fluid temperature distribution of X Field in China was analyzed using Shan mathematical model as a base model. When compared to MWD data from the field, the model predicted the temperature distribution of the field with less than 10% error. An adjustment factor was introduced to the base model to accommodate for changes in annular fluid composition while drilling a saline formation. The findings show that salt concentration has an impact on fluid temperature distribution during drilling. The fluid temperature at the wellbore condition changes by at least 7% with both high and low adjustment factors. Because the salt in the formation inflow dissolves in the drilling fluid near the annulus, the rheology of the fluid combination changes.

Details

Title
Validation of analytical model and identification of salt effect on wellbore temperature in underbalanced drilling
Author
Olatunji, Olayiwola 1   VIAFID ORCID Logo  ; Nguyen, Vu 1 ; Bello Opeyemi 2 ; Ebuka, Osunwoke 1 ; Guo Boyun 1 ; Teodoriu Catalin 2 

 University of Louisiana at Lafayette, Lafayette, USA (GRID:grid.266621.7) (ISNI:0000 0000 9831 5270) 
 Mewbourne School of Petroleum and Geological Engineering, University of Oklahoma, Norman, USA (GRID:grid.266900.b) (ISNI:0000 0004 0447 0018) 
Pages
147-157
Publication year
2022
Publication date
Jan 2022
Publisher
Springer Nature B.V.
ISSN
21900558
e-ISSN
21900566
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2618135636
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.