Using Artificial Intelligence to Solve Complex Flow Equations in a Wet Gas Environment

GM Flow和Astute正致力于该项目，将开发基于人工智能的软件，以增强自动自调节压差锥型流量计，实现连续和非常精确的湿气计量。现有的流量计具有行业领先的操作流量范围，使其成为干气体流量测量的首选。它有明确的潜力成为一种湿气体流量计，能够准确地测量气体流量与液体含量。为了探索这一潜力，我们利用计算流体动力学对仪表进行了广泛的建模和流动循环测试，并在沙特阿拉伯的多口气井中进行了现场试验。该项目旨在开展广泛的湿气物理测试项目。通过研究各种参数，如含水率、气体湿度、流速和流动压力，我们将获得全面的性能数据。研究人员将对这一庞大的数据集进行分析，并开发软件，以便在商业气井应用中对数据进行持续评估和实时操作参数校正。为了有效地处理大量数据，我们将利用人工智能的力量。通过与Astute Centre of Excellence的合作，我们将生成并应用新的算法，这样我们就可以快速分析相对于参考数据的正在进行的天然气生产数据，确定特定生产条件下最合适的参考数据点，并立即纠正流量测量。这种尖端的方法将节省时间，确保数据的准确性，并使自动自调节锥形流量计成为全球湿气计量的首选。这种连续的数据采集和实时监测将减少甚至消除定期和昂贵的试井需求，有助于优化气井管理实践。该项目的成果将成为油气行业发展更高效、更精确的流量测量技术的一个重要里程碑。

GM Flow and Astute are working on this project will develop artificial intelligence based software, to enhance an automated self-adjusting differential pressure cone-type flow meter, for continuous and very accurate wet gas metering.The existing flow meter has an industry leading operating flow range, making it the preferred choice for dry gas flow measurement. It has definite potential to be a wet gas flow meter, capable of accurately measuring gas flow with a liquid content.To explore this potential, we have extensively modelled and flow loop tested the meter using computational fluid dynamics and have undertaken field trials in multiple gas wells in Saudi Arabia.This project aims to conduct an extensive wet gas physical testing program. By investigating various parameters such as water-cut, gas wetness, flow rate, and flowing pressures, we will generate comprehensive performance data. This extensive dataset will to be analysed and software will be developed to enable continuous assessment of data and the application of real-time operating parameter corrections, on commercial gas well applications.To efficiently handle this vast amount of data, we will leverage the power of artificial intelligence. In collaboration with the Astute Centre of Excellence we will generate and then apply new algorithms, so we can quickly analyse ongoing gas production data relative to reference data, identify the most suitable reference data points for specific production conditions, and instantly correct flow measurements.This cutting-edge approach will save time, ensure data accuracy, and establish the automated self-adjusting cone-type flow meter as the preferred choice for wet gas metering globally. This continuous data acquisition and real-time monitoring will reduce or even eliminate the need for periodic and costly well testing, helping optimise gas well management practices. The results of this project will be a significant milestone in the oil and gas industry's evolution of more efficient and accurate flow measurement technologies.