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A Conceptual Framework for Low-Cost Casing Design Using Inventory-Driven Optimization in Onshore Drilling
Subject area: Science,Engineering and Technology · Area of research: Low-Cost Casing Design
Abstract
This paper presents a conceptual framework that integrates inventory management principles into the casing design process for onshore drilling operations. Traditional casing design often occurs independently of supply chain considerations, leading to inefficiencies, delayed procurement, and increased costs. The proposed model addresses these limitations by embedding real-time inventory constraints into the design optimization process. Grounded in established engineering principles, inventory theory, and cost modeling, the framework provides a structured approach to generating cost-effective and operationally feasible casing programs. Key components include a modular architecture that processes engineering inputs, inventory data, and logistical parameters to produce optimized design alternatives. The framework also outlines a practical implementation strategy involving cross-functional collaboration between drilling, procurement, and logistics teams. By incorporating reliability-based safeguards, the model ensures that cost savings do not come at the expense of well integrity. The paper concludes by discussing future directions such as automation, AI integration, and potential applications within digital drilling ecosystems.
Keywords
Casing Design, Inventory Optimization, Onshore Drilling, Engineering Cost Efficiency, Supply Chain Integration, Reliability-Based Design
How to cite this paper
@article{1709124,
author = {Joshua Emeka Ozor, Oludayo Sofoluwe, Dazok Donald Jambol},
title = {A Conceptual Framework for Low-Cost Casing Design Using Inventory-Driven Optimization in Onshore Drilling},
journal = {Iconic Research And Engineering Journals},
year = {2020},
volume = {4},
number = {1},
pages = {244-256},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1709124.pdf},
abstract = {This paper presents a conceptual framework that integrates inventory management principles into the casing design process for onshore drilling operations. Traditional casing design often occurs independently of supply chain considerations, leading to inefficiencies, delayed procurement, and increased costs. The proposed model addresses these limitations by embedding real-time inventory constraints into the design optimization process. Grounded in established engineering principles, inventory theory, and cost modeling, the framework provides a structured approach to generating cost-effective and operationally feasible casing programs. Key components include a modular architecture that processes engineering inputs, inventory data, and logistical parameters to produce optimized design alternatives. The framework also outlines a practical implementation strategy involving cross-functional collaboration between drilling, procurement, and logistics teams. By incorporating reliability-based safeguards, the model ensures that cost savings do not come at the expense of well integrity. The paper concludes by discussing future directions such as automation, AI integration, and potential applications within digital drilling ecosystems.},
keywords = {Casing Design, Inventory Optimization, Onshore Drilling, Engineering Cost Efficiency, Supply Chain Integration, Reliability-Based Design},
month = {July},
}