A dataset of Natural Gas and Liquid Level for Oil Field Production Prediction in China
Abstract Natural gas, a critical resource for national economies and public welfare, plays a significant role in the energy sector. The efficient production of natural gas is often hindered by the presence of formation water, which can adversely affect well productivity and operational efficiency. A...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05309-w |
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| Summary: | Abstract Natural gas, a critical resource for national economies and public welfare, plays a significant role in the energy sector. The efficient production of natural gas is often hindered by the presence of formation water, which can adversely affect well productivity and operational efficiency. Accurate prediction of natural gas production and estimation of associated fluid accumulation are therefore paramount for optimizing extraction processes. This study introduces a dataset compiled from multiple wells in the Inner Mongolia region, primarily targeting the Shanxi Formation, with the aim of enhancing the predictive accuracy of natural gas production and associated fluid accumulation. The dataset, spanning from March 17, 2010, to April 15, 2024, includes detailed records of wellhead pressure, casing pressure, daily methanol injection, and cumulative production volumes of gas, water, and oil. By analyzing these parameters, we can identify trends and anomalies over time, which are essential for refining production strategies and mitigating the impact of fluid accumulation on gas wells. |
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| ISSN: | 2052-4463 |