{"title":"面向中国油田产量预测的天然气和液位数据集。","authors":"Yanlei Wang, Jian Lian, Chengjiang Li","doi":"10.1038/s41597-025-05309-w","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"1071"},"PeriodicalIF":6.9000,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12185699/pdf/","citationCount":"0","resultStr":"{\"title\":\"A dataset of Natural Gas and Liquid Level for Oil Field Production Prediction in China.\",\"authors\":\"Yanlei Wang, Jian Lian, Chengjiang Li\",\"doi\":\"10.1038/s41597-025-05309-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":21597,\"journal\":{\"name\":\"Scientific Data\",\"volume\":\"12 1\",\"pages\":\"1071\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2025-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12185699/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Data\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41597-025-05309-w\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Data","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41597-025-05309-w","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
A dataset of Natural Gas and Liquid Level for Oil Field Production Prediction in China.
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.
期刊介绍:
Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data.
The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.