Data-Driven Solution for Downtime Identification in Unconventional Oil/Gas Reservoirs

在硬件密集型作业中，如加拿大页岩油气行业的完井作业，** 作业地点偏远，作业各部分的责任由多个 ** 供应商分担。由于这种复杂性，这些操作远远没有得到优化，并且经常由于非生产时间（NPT）、意外操作故障和安全相关事件（或未遂事件）而损失资金。随着 ** 商品价格的下降，有必要降低运营和资本支出，这可以通过 ** 工艺优化来实现。**业界已多次表示需要实时监控和优化系统。**然而，使用昂贵的传感器（如热成像摄像机和视频分析）远程监控操作已被证明成本太高，并且提供的功能超出了要求。HAWK-EYE ** 是一种价格低廉的软件系统，它使用压力传感器和阀门位置传感器 ** 来监控焊盘操作，这些传感器可用于确定NPT的程度、操作故障可能性和安全事故，从而为客户提供具有成本效益的工艺优化解决方案。Baker**Hughes隶属于GE公司（BHGE），是一家领先的石油和天然气设备制造商以及油田服务和数字化解决方案提供商，他正在寻找这样一种基于优化的解决方案，以降低非常规碳氢化合物开采的成本。目前，传感器数据、压力测量阀位置和相关的压裂相关事件在压裂操作之后被发送 ** 给顾问，以便量化NPT。拟议的研究项目将 ** 开发一种自动数据驱动的方法，根据 ** 现有的传感器数据实时可靠地估计油井状况，从而提供对油井状况的实时监测。

In hardware intensive operations such as completion operations in the shale oil and gas industry in Canada,**operational sites are remote and the responsibilities for various parts of the operation are split between multiple**vendors. Due to this complexity, these operations are far from being optimized and often lose money due to**Non-Productive Time (NPT), unexpected operational failures, and safety-related incidents (or near misses). As**commodity prices drop, it becomes necessary to reduce operating and capital expenses, which may be achieved**through process optimization.**The industry has repeatedly expressed the requirement for a real-time monitoring and optimization system.**However, monitoring operations remotely with expensive sensors, such as thermal imaging cameras and video**analytics, has proven to be too costly, and provides capabilities in excess of requirements. HAWK-EYE serves**as that inexpensive software system that monitors pad operations using pressure transducers and valve position**sensors that can be used to determine the extent of NPT, operational failure potential, and safety incidents in a**pre-emptive manner, in turn, providing customers with a cost-effective solution for process optimization. Baker**Hughes, a GE company (BHGE), a leading oil and gas equipment manufacturer and oilfield services and digital**solutions provider, is looking for such an optimization-based solution to reduce costs in unconventional**hydrocarbon extraction.**Presently the sensor data, pressure measurements valve positions and associated frack-related events, are sent**to consultants after the fracking operation, in order to to quantify the NPT. The proposed research project will**develop an automatic data-driven method for robustly estimating the status of a well in real-time, based on the**available sensor data, hence providing real-time monitoring of the well status.