Well Collision Risk Management by Fully Automated Wellbore Surveying

M. ElGizawy, N. Zackman, J. Hernandez, F. Gomez, A. Row
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Abstract

A survey program is designed for every well to meet the well objective of penetrating the target reservoir and avoid colliding with other offset wells. The selection of the wellbore survey tools within the survey program is limited in number and accuracy by the surveying technologies available in the industry currently. Quality Control QC measures are regularly in place to ensure the wellbore surveys’ accuracy is validated. However, wellbore surveys often delivered without conducting the full QC measures and sometime are delivered with failing QC measures. This increases the risk of missing the survey program's objective and more critical escalates the risk of the well collision with other wells. Hence, quality control of survey correction is a key to the success of the overall objectives of the well construction. As automated survey-correction software is becoming commonplace among oil and gas operators it is important to consider its use in relation to the overall well risk management strategies. This paper is presenting the latest developed automation workflows to strictly guarantee the quality control and quality assurance of the wellbore survey while placing the well in real-time. Automated Survey QC and correction platforms go a long way to reduce gross error or human related errors with algorithms and machine to machine data transfer protocols. Automated survey QC and correction platforms can be key components in robust risk management solutions for well construction. When implemented appropriately, they allow quick and automated quality check and corrections on wellbore trajectory position which is critical in Anti-Collision and tight target wells. Even though the correction platform is automated it still requires clarity and confidence in the algorithms. This can be achieved with features that are easily accessible, clear, and understandable to inexperienced users. In addition, there should be readily reachable domain experts who can confirm and further interpret the results quickly and clearly, especially when well objectives are in peril of not being met. In this paper, automated survey QC and correction enablers are detailed. How quality control of survey correction are automated, strictly controlled and easily auditable. Additionally, case studies of well construction risk management are presented as well as the successful proof of eliminating human/gross error and non-compliance are demonstrated. The wellbore position is calculated using wellbore surveys. The fact the surveys inherit errors due to tools and environment, the quality of surveys must be ensured and corrected in real-time. The presented technique automates the survey QC and correction process in real-time with a main objective to minimize the risk of colliding with another well or missing the production zone targets while being part of a robust risk management structure.
通过全自动井筒测量进行油井碰撞风险管理
勘测程序是为每口油井设计的,以实现穿透目标储层的油井目标,并避免与其他偏移油井相撞。勘测计划中井筒勘测工具的选择在数量和精度上受到目前行业内现有勘测技术的限制。质量控制 QC 措施定期到位,以确保井筒勘测的准确性得到验证。然而,井筒勘测往往在未采取全面质量控制措施的情况下进行,有时甚至在质量控制措施不合格的情况下进行。这增加了错过勘测计划目标的风险,更重要的是增加了油井与其他油井相撞的风险。因此,勘测校正的质量控制是成功实现油井建设总体目标的关键。随着自动勘测校正软件在油气运营商中的普及,考虑其使用与整体油井风险管理策略的关系非常重要。本文将介绍最新开发的自动化工作流程,以严格保证井筒勘测的质量控制和质量保证,同时实时下井。通过算法和机器对机器数据传输协议,自动化勘测质量控制和修正平台在减少严重错误或人为相关错误方面大有可为。自动勘测质量控制和校正平台是油井建设强大风险管理解决方案的关键组成部分。如果实施得当,它们可以对井筒轨迹位置进行快速、自动的质量检查和校正,这在防碰撞和紧目标井中至关重要。尽管校正平台是自动化的,但仍要求算法清晰可靠。要做到这一点,必须要有便于使用、清晰易懂的功能,让没有经验的用户也能理解。此外,还应该有随时可以联系到的领域专家,他们可以快速、清晰地确认和进一步解释结果,尤其是在油井目标有可能无法实现的情况下。本文将详细介绍自动勘测质量控制和修正功能。勘测修正的质量控制如何实现自动化、严格控制和易于审计。此外,本文还介绍了油井施工风险管理的案例研究,以及消除人为/重大错误和违规行为的成功证明。井筒位置是通过井筒测量计算得出的。由于测量会因工具和环境而产生误差,因此必须确保测量质量并进行实时纠正。所介绍的技术可实时自动进行勘测质量控制和校正,其主要目的是最大限度地降低与其他油井相撞或错过生产区目标的风险,同时成为稳健风险管理结构的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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