Learnings from Building a Vendor Agnostic Automated Directional Drilling System

Philip, Titto Thomas; Ziatdinov, S. I.

doi:10.2118/205864-ms

Cited by 2 publications

References 10 publications

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Design of an Intelligent Control System for Compound Directional Drilling in Underground Coal Mines

Li,

Wu,

Chen

et al. 2024

JACIII

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The compound directional drilling process, including slip and rotation, is the key to realizing long-hole drilling in coal mines. First, a compound directional drilling process control scheme is proposed to realize intelligent control of the directional drilling process. An intelligent drilling process optimization method was designed to improve drilling efficiency. A robust controller for the drilling rate based on gain scheduling was designed to achieve stable control of the drilling rate during sliding deflection drilling. A robust controller based on hybrid sensitivity was designed to achieve stable control of the drilling rate during rotary inclined stabilization drilling. The results of this study can provide a theoretical basis for realizing the intelligent optimization and control of compound directional drilling in coal mines.

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Design of an Intelligent Control System for Compound Directional Drilling in Underground Coal Mines

Li,

Wu,

Chen

et al. 2024

JACIII

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Real-Time Directional Guidance Through Cloud-Based Well Path Optimization

Joshi¹,

Kamyab²,

Braga³

et al. 2023

SPE/IADC International Drilling Conference and Exhibition

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This paper shares an implementation of a cloud-based framework that tracks the well position and, in real-time, recommends corrective actions to ensure that the well efficiently follows the well plan. This directional guidance framework can differentiate between vertical, curve, and lateral sections and modify the recommendations accordingly. This paper will share the methods and results from the case studies to validate the directional guidance framework. This cloud-based directional guidance workflow kicks in as soon as the drilling starts. In real-time, the system tracks the bit position and identifies the active section (vertical, curve, lateral, tangent) for the well. Vertical and lateral sections use recommendations previously reported using particle swarm optimization in SPE-206170 (Cardoso Braga et al., 2021). Equations for curve sections are provided that fit the proposed wellbore trajectory to a 3D spheroid using the current motor yield as calculated using the three most recent slides. A real-time assessment of the estimated actual landing point is presented, and warnings of missing the planned landing point are provided. The drilling guidance algorithm was tested for individual sections (vertical, tangent, curve, lateral) on three wells. The recommendations were evaluated to ensure they met each section's optimization goals. The optimization goals for the straight sections are to maximize the ROP, maximize the footage in the window, and minimize tortuosity. Weighting factors for each goal adjust the optimum recommendations based on user requirements. The optimization goals for the curve section are to minimize the distance between the planned landing point and the recommended landing points Then, the guidance system was tested on the complete wells to ensure that the algorithm could correctly identify the section and use the appropriate method. The recommendations from all three wells were evaluated to confirm that the recommendations met the specific criteria applied. Close attention was paid to the transition zones between various sections. The directional guidance workflow resulted in real-time recommendations throughout the well profile for all sections. It was consistently able to output specific steps that the directional driller can take to optimally get closer to the plan. This paper follows up on the previous publications on directional guidance by the authors (SPE 206170 (Cardoso Braga et al., 2021) and SPE 204065 (Cardoso Braga et al., 2021).). It completes the loop on automated directional guidance by adding the missing piece of directional guidance in the curve section and handling transitions between straight (vertical, lateral, tangent) and curve sections. This enables cloud-based automated directional guidance for the entirety of the drilling process.

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Learnings from Building a Vendor Agnostic Automated Directional Drilling System

Cited by 2 publications

References 10 publications

Design of an Intelligent Control System for Compound Directional Drilling in Underground Coal Mines

Design of an Intelligent Control System for Compound Directional Drilling in Underground Coal Mines

Real-Time Directional Guidance Through Cloud-Based Well Path Optimization

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