Automated Drilling Platform for Horizontal Wells in Non-Conventional Fields Utilizing Rotary Steerable System (RSS) Technology

Abstract

Abstract

Abstract Drilling horizontal wells in non-conventional fields has progressively evolved, with longer lateral sections and increasing challenges in executing directional trajectories using rotary steerable systems. Consequently, achieving consistency, efficiency, and reliability has become paramount. These objectives can be effectively met through the deployment of an advanced automation platform for well placement adjusting the directional drilling strategy in real time. Such a system minimizes trajectory deviations and enhances operational stability, reducing non-productive time (NPT) and improving overall productivity. Geological planning and interpretation were integrated into an automation platform through a dedicated workflow for well placement, with the objective of enabling real-time control over directional trajectories. This workflow was aligned with the machine learning process of the analysis algorithm (rule based decision tree), aiming to reduce response times and enable precise control of a rotary steerable system assisted by a downhole motor. Additionally, a secondary control layer was established through a remote monitoring center to ensure continuous communication and functionality of the defined workflow, verifying that automated recommendations aligned with the directional requirements for trajectory execution. The implementation of an automation platform effectively enabled horizontal drilling of wells in the non-conventional field like Vaca Muerta, resulting in operational time reductions of up to 18% compared to traditional, non-automated drilling methods, sharing in a field with near of 30 wells already drilled with same tools configuration with almost 3200m average in lateral length without automation. This outcome or time reduction was achieved with automation; the data was validated by the remote monitoring center. The automation system demonstrated consistency, efficiency, and reliability in all commands issued to the rotary system for directional trajectory execution, successfully building the entire curve through to landing and drilling the full lateral section, thereby achieving 100% of the targeted pay zone. Decision-making times and human error were significantly minimized. These results highlight that the integration of advanced technologies not only contributes to reducing NPT from a drilling standpoint, but also delivers higher-quality wellbores, enabling faster casing operations and reducing flat time during well construction operations.