Journal of Advances in Developmental Research

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AI-Driven Closed-Loop Solids Control for Ultra-Low Waste Drilling

Author(s) Anthony Igbigbi
Country Nigeria
Abstract The global drilling industry is experiencing larger and larger pressure to minimize environmental impact and still make the operation work efficiently, cost-effective, and of course, comply with the regulations. Conventional solids control systems, both manual and rules based automation are often poor at meeting ultra low waste drilling targets in complex geologic environments. Inefficiencies with cuttings separation, slow responses to process deviations, and inconsistent waste management practices result in excessive losses with drilling fluids, increased volumes of waste to be disposed, and non-productive time. In face of these challenges, artificial intelligence (AI) driven closed-loop solids control systems have become a groundbreaking solution to guarantee optimization of the management of drilling wastes in real-time.
This article looks at the role that AI-driven closed-loop solids control play in enabling ultra-low waste drilling operations. Based on the systems engineering theory, fluid mechanics theory of drilling fluids and the latest work on artificial intelligence in industry, the research presents the idea of integrating machine learning, sensors fusion, and real-time feedback loops in solids control workflows to improve the separation outcome, minimise waste generation and improve sustainability during drilling oil and gas production. The research takes a conceptual-analytical approach backed by case evidence from the industry to measure system architecture, control and performance results.
The results indicate that the AI-enabled closed-loop solids control allows significant improvement in waste minimization by dynamically adjusting (in response to changing drilling conditions) equipment parameters like shaker screen selection or centrifuge speed and fluid density. Beyond the environmental benefits, operational benefits are also provided, such as better rate of penetration, lower dilution costs and better regulatory compliance. The article concludes by providing tenants, context of the main technical, organizational, and regulatory considerations of the scalability of AI-driven solids control systems for offshore and onshore drilling operations.
Keywords AI-driven drilling; closed-loop control; solids control systems; ultra-low waste drilling; drilling fluids management; machine learning in oil and gas; environmental sustainability.
Published In Volume 13, Issue 2, July-December 2022
Published On 2022-12-08
Cite This AI-Driven Closed-Loop Solids Control for Ultra-Low Waste Drilling - Anthony Igbigbi - IJAIDR Volume 13, Issue 2, July-December 2022.
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