Repository logo
Log In(current)
  1. Home
  2. Матеріали конференцій
  3. Молодь: наука та інновації
  4. Молодь: наука та інновації 2025 : матеріали ХIІI Міжнародної науково-технічної конференції студентів, аспірантів та молодих вчених, Дніпро, 12–14 листопада 2025 року : у 3-х т.
  5. Т. 1.
  6. Application of regression analysis for the optimization of drilling fluid formulation
Details

Application of regression analysis for the optimization of drilling fluid formulation

Date Issued
2025
Author(s)
Volovyk V. A.
Editor(s)
Khomenko V. L.
Кафедра нафтогазової інженерії та буріння  
Abstract
Drilling fluids are a critically important, yet costly, component in the overall well drilling budget. Their formulation optimization is a key engineering task aimed not only at the direct reduction of chemical reagent costs but also at ensuring a smooth and safe drilling process. An improperly selected or overly "cheap" formulation can lead to significantly greater total losses: damage to the productive formation due to high filtration, reduced well flow rates, and increased non-productive time (NPT) due to complications such as differential sticking [1]. Furthermore, formulation optimization is directly related to environmental and logistical costs; effective composition management and fluid reuse can reduce the total volume of waste (cuttings) by up to 30%, which significantly lowers disposal costs. Thus, true optimization seeks not the minimum formulation cost, but the minimum total cost of drilling operations, while ensuring compliance with all technological parameters.
Subjects

drilling fluid

regression analysis

oil well drilling

gas well drilling

drilling

буровий розчин

регресійний аналіз

буріння нафтових свер...

буріння газових сверд...

буріння

File(s)
Loading...
Thumbnail Image
Name

molod-2025-vol1-25-26.pdf

Size

390 KB

Format

Adobe PDF

Checksum

(MD5):e11359cd86a267304109dc112261605f

.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify