Applications of CBR in Oil Well Drilling: A General Overview

Shokouhi, Samad Valipour; Aamodt, Agnar; Skalle, P.

doi:10.1007/978-3-642-16327-2_15

Cited by 5 publications

(1 citation statement)

References 24 publications

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“…Very few systems have reached deployment, however, and no other system than DrillEdge, to our knowledge, links online data streams to past cases for real-time decision support in an ongoing drilling process. Partly based on a previous study (Shokouhi, Aamodt, and Skalle 2010), we discuss related work where CBR methods are applied to an ongoing oil drilling operation as well as applications in related drilling domains, such as well planning, reservoir engineering, and petroleum geology.…”

Section: Related Workmentioning

confidence: 99%

A Real‐Time Decision Support System for High Cost Oil Well Drilling Operations

Gundersen¹,

Sørmo²,

Aamodt

et al. 2013

AI Magazine

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In this article we present DrillEdge — a commercial and award winning software system that monitors oil-well drilling operations in order to reduce non-productive time (NPT). DrillEdge utilizes case-based reasoning with temporal representations on streaming real-time data, pattern matching and agent systems to predict problems and give advice on how to mitigate the problems. The methods utilized, the architecture, the GUI and development cost in addition to two case studies are documented.

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Section: Related Workmentioning

confidence: 99%

A Real‐Time Decision Support System for High Cost Oil Well Drilling Operations

Gundersen¹,

Sørmo²,

Aamodt

et al. 2013

AI Magazine

Self Cite

View full text Add to dashboard Cite

show abstract

An overview of case-based reasoning applications in drilling engineering

2012

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CBM drilling technical parameter optimization methodology and software development: a case study of LUAN mining area

Guo

Cao

Sang

et al. 2021

An. Acad. Bras. Ciênc.

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Based on the leakage of the coalbed methane (CBM) drilling engineering practice of Luan mining area in China, the author determines the safe drilling fluid density range for the stable borehole wall based on borehole wall collapse and fracture pressure. Such parameters as the drilling fluid hydraulic parameters (including pump pressure, pump power and displacement, nozzle diameter, bit pressure drop, bit hydraulic horsepower, circulation pressure drop, impact force and jet velocity) and drilling parameters (including weight-on-bit, drilling rotary speed, bit tooth wear) in each borehole section are optimized. Taking the lowest drilling cost as the controlling target, the drilling parameter optimization model is designed and solved by the genetic algorithm. Furthermore, a software named "CBM borehole wall stability parameter design and optimization" characterized by visualization and applicable for drilling formation condition, which can be used to design and optimize the borehole drilling technological parameters, is developed. This program includes such modules as drilling fluid density prediction, drilling technology design, database management, user management and help. The developed software is proven to solve the drilling leakage effectively in the No.67 borehole practice, which can help drilling engineers to optimize CBM drilling technological parameters safely and quickly.

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Applications of CBR in Oil Well Drilling: A General Overview

Cited by 5 publications

References 24 publications

A Real‐Time Decision Support System for High Cost Oil Well Drilling Operations

A Real‐Time Decision Support System for High Cost Oil Well Drilling Operations

An overview of case-based reasoning applications in drilling engineering

CBM drilling technical parameter optimization methodology and software development: a case study of LUAN mining area

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