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Conceptual Model for Optimizing Well Planning and Feasibility Assessment in Onshore Drilling Campaigns
Subject area: Science,Engineering and Technology · Area of research: Petroleum Engineering
Abstract
The optimization of well planning and feasibility assessment in onshore drilling campaigns represents a critical challenge in modern petroleum engineering, requiring sophisticated integration of geological, technological, and economic considerations. This research presents a comprehensive conceptual model designed to enhance decision-making processes in onshore drilling operations through systematic evaluation of technical and commercial parameters. The proposed framework incorporates probabilistic risk assessment methodologies, advanced geological characterization techniques, and cost-benefit analysis protocols to provide operators with robust tools for campaign optimization. The model addresses the complex interplay between reservoir characteristics, drilling technologies, regulatory requirements, and economic constraints that influence project viability and operational efficiency. Through comprehensive analysis of existing literature and industry practices, this study identifies key performance indicators and decision criteria essential for successful onshore drilling campaigns. The research methodology employs a multi-faceted approach combining quantitative modeling techniques with qualitative assessment frameworks to develop a holistic optimization strategy. Key findings demonstrate that integrated planning approaches utilizing probabilistic methods can reduce operational risks by up to 35% while improving economic returns through enhanced resource allocation and technology selection. The proposed conceptual model provides a structured framework for evaluating drilling opportunities, optimizing well placement strategies, and managing campaign-level uncertainties. Implementation of this model enables operators to make informed decisions regarding drilling sequences, technology deployment, and resource allocation while maintaining compliance with environmental and regulatory standards. The framework's modular design allows for customization based on specific geological conditions, operational constraints, and corporate objectives. Validation studies indicate significant improvements in planning accuracy and cost control when the proposed methodology is applied to onshore drilling campaigns. The research contributes to advancing industry best practices through development of standardized assessment protocols and optimization algorithms. Future applications of this model may extend to enhanced oil recovery operations, geothermal drilling projects, and carbon sequestration initiatives, demonstrating its versatility and broad applicability in the energy sector.
Keywords
Well Planning Optimization, Feasibility Assessment, Onshore Drilling, Probabilistic Analysis, Campaign Management, Decision-Making Frameworks, Risk Assessment, Economic Evaluation
References
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How to cite this paper
@article{1711264,
author = {Joshua Maduegbulam Umejuru, Obinna Joshua Ochulor},
title = {Conceptual Model for Optimizing Well Planning and Feasibility Assessment in Onshore Drilling Campaigns},
journal = {Iconic Research And Engineering Journals},
year = {2019},
volume = {3},
number = {4},
pages = {506-526},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1711264.pdf},
abstract = {The optimization of well planning and feasibility assessment in onshore drilling campaigns represents a critical challenge in modern petroleum engineering, requiring sophisticated integration of geological, technological, and economic considerations. This research presents a comprehensive conceptual model designed to enhance decision-making processes in onshore drilling operations through systematic evaluation of technical and commercial parameters. The proposed framework incorporates probabilistic risk assessment methodologies, advanced geological characterization techniques, and cost-benefit analysis protocols to provide operators with robust tools for campaign optimization. The model addresses the complex interplay between reservoir characteristics, drilling technologies, regulatory requirements, and economic constraints that influence project viability and operational efficiency. Through comprehensive analysis of existing literature and industry practices, this study identifies key performance indicators and decision criteria essential for successful onshore drilling campaigns. The research methodology employs a multi-faceted approach combining quantitative modeling techniques with qualitative assessment frameworks to develop a holistic optimization strategy. Key findings demonstrate that integrated planning approaches utilizing probabilistic methods can reduce operational risks by up to 35% while improving economic returns through enhanced resource allocation and technology selection. The proposed conceptual model provides a structured framework for evaluating drilling opportunities, optimizing well placement strategies, and managing campaign-level uncertainties. Implementation of this model enables operators to make informed decisions regarding drilling sequences, technology deployment, and resource allocation while maintaining compliance with environmental and regulatory standards. The framework's modular design allows for customization based on specific geological conditions, operational constraints, and corporate objectives. Validation studies indicate significant improvements in planning accuracy and cost control when the proposed methodology is applied to onshore drilling campaigns. The research contributes to advancing industry best practices through development of standardized assessment protocols and optimization algorithms. Future applications of this model may extend to enhanced oil recovery operations, geothermal drilling projects, and carbon sequestration initiatives, demonstrating its versatility and broad applicability in the energy sector.},
keywords = {Well Planning Optimization, Feasibility Assessment, Onshore Drilling, Probabilistic Analysis, Campaign Management, Decision-Making Frameworks, Risk Assessment, Economic Evaluation},
month = {October},
}