BHC3生产优化

优化油井生产

BHC3生产优化

优化天然气井生产

井和表面网络的各大优化

BHC3™ Production Optimization is an AI-enabled software application that enables oil and gas production and facility engineers to visualize, analyze and optimize upstream production operations. With BHC3 Production Optimization, oil and gas operators benefit from increased production volumes, quantified dependency scores of注射孔在生产井上,更准确的良好生产报告,以及综合工具来调查和采取行动,以防止生产损失。

BHC3生产优化leverages all available data to train advanced AI models of hydrocarbon flow in wells and surface production networks. The supervised and unsupervised AI models are used to generate a virtual metering network by inferring hydrocarbon state estimations (flow rate, pressure, temperature) from wells, pipelines and network assets that are inaccurately or only periodically instrumented. This continuous and accurate virtual metering estimation across the wells and surface network enable operators to back allocate production to individual wells, to identify injection well optimizations, and to recommend improvements to address production and sensor issues.

Features

High accuracy virtual metering

Leverage unique physics-based models of surface system networks coupled with AI-enabled meter estimations to generate a virtual metering network.
High priority

Surface network visualization

通过利用表面系统模型和显示测量,预测和警报来可视化表面网络。

生产返回分配

Use a system-of-systems approach, enabling users to back allocate flow and identify bottleneck and low-producing wells throughout the network.

Injection well optimization

为注射井水平提供操作条件的建议,以优化现场生产。

使用RCA启用优先警告警报

减少the number of unnecessary alerts through AI-enabled detection and categorization of sensor and production alerts.

传感器位置推荐

使用建议在其中安装物理传感器以显着提高网络的精度。

数据集成和可视化

将不同的数据源(如曲面网络模型,资产数据,井筒钻井数据,水库和生产模型),时间序列历史学家,终端和SCADA数据等集成到统一和联合的数据图像中。

好处

Increase

通过改进的现场和良好的分析来增加生产率,导致最佳注射和投资决策。

减少

由于改进的虚拟传感器方法来减少重新脉搏和安装传感器的负担,降低运营费用。

Optimize

通过启用AI的生产损失分析工具优化操作调查工作负载。

提升

由于各种井级和整体油田的生产问题的可见性提高了安全性。

数据源

多个不同的数据源是统一和联合的BHC3™AI套房用于BHC3生产优化。此使运营商不仅可以获得整个端到端生产的统一数据图像,还可以帮助定义用于培训启用AI的模型的功能,以生成指导用户决策的建议和警报 - 例如,在哪里重新校准或安装新传感器,在哪里增加水或气体注射以最大化生产。

BHC3生产优化产生实时警报,以便为生产和设施工程师提供生产和设施工程师(例如,或过度计算,行为变化)和传感器(例如,不准确增加,错误稳定)风险。然后,申请提供可解释的见解和建议,通过最大限度地生产资本和运营支出,以通过最大限度地提高生产来优化整个领域的盈利能力。

BHC3模型驱动的BHC3生产优化架构

演示

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