Enhancing Casing Design Efficiency Using a Python-Based Program with Integrated Catalog and Recommendation Features

DOI

10.2991/978-94-6463-920-9_15How to use a DOI?

Keywords

Casing design; Python; Drilling software; Web-based application

Abstract

A Good drilling plan is essential to minimize the risk of well failure. Casing design plays a crucial role in determining a well’s ability to withstand subsurface conditions and sustain production over an extended period. This research aims to provide user-friendly access to casing design planning through a web-based application. Uncarefully planned casing design might result in blowouts, formation collapse and equipment damage. Therefore, a designated program aims to facilitate the process of automating calculations based on numerical computing capabilities. A developed program, hereby, is evaluated using case studies from scientific publications. To evaluate further, the program results were then compared with commercial drilling simulation software. Better and more economical alternatives were provided by the surface casing design planning program, optimizing the casing design planning results. While intermediate casing design planning case in this program provides results that maximize the first casing without considering optimal limits, which is identified as an uneconomic casing design. Casing design planning with commercial software as a comparison program provides good results based on economic considerations. Casing design programs for surface planning provide the most optimal combination of commercial software and case studies, but there are significant differences in planning intermediate casing combinations. The program phenomenon was reviewed to provide fundamental logic for decision making in casing design planning. Adapting key features from commercial software helps evaluate and enhance the functionality and logic of the casing design system being developed.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Agus Triono
AU  - Yusuf Muhammad Zaki
AU  - Eriska Eklezia Dwi Saputri
PY  - 2025
DA  - 2025/12/15
TI  - Enhancing Casing Design Efficiency Using a Python-Based Program with Integrated Catalog and Recommendation Features
BT  - Proceedings of the International Conference on Recent Innovations in Sustainable Engineering Solutions 2025 (ICONRISES 2025)
PB  - Atlantis Press
SP  - 141
EP  - 149
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-920-9_15
DO  - 10.2991/978-94-6463-920-9_15
ID  - Triono2025
ER  -