Data-Driven Solution for Downtime Identification in Unconventional Oil/Gas Reservoirs
非常规油气藏停机识别的数据驱动解决方案
基本信息
- 批准号:530677-2018
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Engage Grants Program
- 财政年份:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
在加拿大页岩石油和天然气行业的硬件密集型运营中,**运营地点是遥远的,并且对操作的各个部分的责任分配在多个**供应商之间。由于这种复杂性,这些操作远非被优化,并且由于**非生产性时间(NPT),意外的操作失败和与安全有关的事件(或接近失误),经常损失钱。随着**商品价格下跌,有必要减少运营和资本费用,这可以通过流程优化来实现。**该行业反复表达了对实时监控和优化系统的要求。 Hawk-eye将**作为廉价的软件系统使用,该软件系统使用压力传感器和阀位置来监视垫垫操作**传感器**传感器可用于确定NPT的程度,操作性故障潜力和以**预先避免的方式,而安全事件则又为客户提供了一种以成本效益的解决方案来优化流程的解决方案。 Baker ** Hughes是GE公司(BHGE),一家领先的石油和天然气设备制造商和油田服务以及数字**解决方案提供商,正在寻找一种基于优化的解决方案,以降低非常规的** **碳氢化合物提取的成本。拟议的研究项目将**开发一种自动数据驱动的方法,以根据**可用的传感器数据来稳健地估算实时井的状态,从而提供对井状态的实时监控。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Westwick, David其他文献
Application of neural networks for optimal-setpoint design and MPC control in biological wastewater treatment
- DOI:
10.1016/j.compchemeng.2018.04.007 - 发表时间:
2018-07-12 - 期刊:
- 影响因子:4.3
- 作者:
Sadeghassadi, Mahsa;Macnab, Chris J. B.;Westwick, David - 通讯作者:
Westwick, David
Effect of planar microelectrode geometry on neuron stimulation: Finite element modeling and experimental validation of the efficient electrode shape
- DOI:
10.1016/j.jneumeth.2015.03.024 - 发表时间:
2015-06-15 - 期刊:
- 影响因子:3
- 作者:
Ghazavi, Atefeh;Westwick, David;Dalton, Colin - 通讯作者:
Dalton, Colin
Nonlinear system identification using optimally selected Laguerre filter banks
- DOI:
10.1109/acc.2006.1656574 - 发表时间:
2006-01-01 - 期刊:
- 影响因子:0
- 作者:
Dankers, Arne;Westwick, David - 通讯作者:
Westwick, David
Westwick, David的其他文献
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{{ truncateString('Westwick, David', 18)}}的其他基金
Practical Methods for the Identification of Nonlinear Systems
非线性系统辨识的实用方法
- 批准号:
RGPIN-2020-04590 - 财政年份:2022
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Practical Methods for the Identification of Nonlinear Systems
非线性系统辨识的实用方法
- 批准号:
RGPIN-2020-04590 - 财政年份:2021
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Practical Methods for the Identification of Nonlinear Systems
非线性系统辨识的实用方法
- 批准号:
RGPIN-2020-04590 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Identification of Nonlinear Systems
非线性系统的辨识
- 批准号:
RGPIN-2015-06464 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Identification of Nonlinear Systems
非线性系统的辨识
- 批准号:
RGPIN-2015-06464 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Pipeline monitoring and leak detection using system identification methods
使用系统识别方法进行管道监控和泄漏检测
- 批准号:
514531-2017 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Collaborative Research and Development Grants
Identification of Nonlinear Systems
非线性系统的辨识
- 批准号:
RGPIN-2015-06464 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Identification of Nonlinear Systems
非线性系统的辨识
- 批准号:
RGPIN-2015-06464 - 财政年份:2016
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Identification of Nonlinear Systems
非线性系统的辨识
- 批准号:
RGPIN-2015-06464 - 财政年份:2015
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Identification of nonlinear systems operating in closed loop
闭环运行的非线性系统的识别
- 批准号:
238939-2010 - 财政年份:2014
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
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