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Quest for a Pragmatic Drilling Fluid Performance Index—Key to Improving Fluid Performance and Optimising Quality Well Delivery Economics

机译:寻求务实的钻井液性能指标关键改善流体性能和优化质量良好的递送经济学

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Over the years there have been numerous attempts at establishing a key performance-measuring index (KPI) that would allow comparisons to be drawn with drilling activities in different locations. In the case of drilling fluids no model has gained any universal acceptance and measuring performance in this activity has typically been left to the ‘easy to acquire’ cost/m or cost/m3 per interval drilled on a campaign well basis within a specific field. Drilling fluids cost across the oil industry range between 5-25% of the well construction costs. If we continue with the traditional cost focused indices then at the low end of this range there is no visible incentive to reduce costs and hence no drive to measure nor improve performance in many of our locations. The real drivers to improve performance lie with the impact on the overall well performance and field development economics in terms of Non Productive Time (NPT) and deferred or impaired production and these can be significant. A pragmatic approach is being developed within Petroleum Development Oman (PDO) that embraces the importance of NPT data as a measure of drilling performance and addresses the issues of production performance of the well to identify well improvement opportunities. This paper reviews the existing mud performance parameters and their drawbacks, presents a practical prediction technique for drilling mud cost based on existing offset field/well data which is less complex than the typical functional drilling cost models (Kaiser 2007) and describes how to integrate mud-related cost factors into a simple Mud Quality Index (MQI) equation. The underlying assumptions and limitations of the new KPI will also be discussed to determine any further improvements deemed necessary. Using real data from some PDO fields, MQI data was generated for a group of wells and compared to the old mud cost matrix data to show the disparity in the wells performance ranking based on the different KPIs. The KPI tool is expected to facilitate drilling fluids planning, design and management decision-making on the capital- intensive exploration, deep appraisal and development drilling projects when fully deployed.
机译:多年来,在建立关键性能测量指数(KPI)方面有许多尝试将允许比较在不同地点的钻井活动中绘制。在钻井液的情况下,没有模型在该活动中获得了任何通用接受和测量性能,通常留给“易于获取”成本/ m或每次间隔在特定领域的竞选井上钻取的价格/ m3。钻井液在油业范围内的5-25%的井建筑成本。如果我们继续传统成本占用指数,那么在这个范围的低端,没有明显的激励可以降低成本,因此没有驱动,无法测量,也没有提高我们在许多地点的性能。在非生产时间(NPT)和延迟或受损的生产方面,实际司机提高性能的影响伴随着整体井绩效和现场开发经济学的影响,这些产生了很大。在石油开发阿曼(PDO)内正在开发一种务实的方法,这些方法包括NPT数据的重要性,作为钻井性能的衡量标准,并解决了井的生产性能问题,以确定井的改进机会。本文综述了现有的泥浆性能参数及其缺点,提出了一种基于现有偏移场/井数据的钻井泥土成本的实用预测技术,该井数据不如典型的功能钻探成本模型(Kaiser 2007),并描述了如何整合泥浆[复合成本因素,进入简单的泥浆质量指数(MQI)方程。还将讨论新KPI的潜在假设和局限性以确定必要的进一步改进。使用来自某些PDO字段的实际数据,为一组井生成MQI数据,并与旧的泥浆成本矩阵数据相比,以显示基于不同的KPI的井的性能排名中的视差。 KPI工具有望在充分部署时促进资本密集型勘探,深度评估和开发钻探项目的钻井液规划,设计和管理决策。

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