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

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.
在硬件密集型作业中,例如加拿大页岩油气行业的完井作业,**作业地点偏远,作业各个部分的责任由多个**供应商分配。由于这种复杂性,这些操作远未得到优化,并且经常因**非生产时间 (NPT)、意外操作故障和安全相关事件(或未遂事件)而造成资金损失。随着**商品价格下降,有必要减少运营和资本支出,这可以通过流程优化来实现。**业界多次表达了对实时监控和优化系统的需求。**然而,事实证明,使用昂贵的传感器(例如热成像摄像机和视频**分析)远程监控操作成本太高,并且提供的功能超出了要求。 HAWK-EYE 作为一种廉价的软件系统,使用压力传感器和阀位传感器监控垫操作,可用于以先发制人的方式确定 NPT 的范围、潜在的操作故障和安全事件,从而为客户提供经济高效的流程优化解决方案。贝克**休斯 (Baker**Hughes) 是 GE 公司 (BHGE) 的领先石油和天然气设备制造商以及油田服务和数字**解决方案提供商,正在寻找这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、压力测量阀门位置和相关的压裂相关事件在压裂作业后发送给顾问,以便量化 NPT。拟议的研究项目将**开发一种自动数据驱动方法,基于**可用的传感器数据,实时稳健地估计井的状态,从而提供井状态的实时监控。

项目成果

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Westwick, David其他文献

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
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

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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