| GIS支持下的油气多因素综合预测方法——以苏里格气田苏120区为例 |
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| 引用本文： | 梁梓君,冯强汉,陈龙,魏千盛,任越飞,熊哲,王国华.GIS支持下的油气多因素综合预测方法——以苏里格气田苏120区为例[J].测绘与空间地理信息,2017(4). |
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| 作者姓名： | 梁梓君 冯强汉 陈龙 魏千盛 任越飞 熊哲 王国华 |
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| 作者单位： | 1. 长江大学地球科学学院,湖北武汉,430100;2. 中国石油长庆油田分公司第三采气厂,内蒙古乌审旗,017300 |
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| 摘 要： | 苏里格气田为一致密沙岩气田,油气富集区的预测优选为气藏开发奠定基础。常规的油气富集区预测方法存在着多学科成果综合分析困难、预测过程复杂、效率低下等弊端,本文针对苏里格120区块开展了基于GIS的油气富集区多因素综合预测方法的研究。首先借助GIS的空间数据库,实现多学科成果图件的集成管理;然后基于空间定位,从多学科成果图件中提取预测多因子,构建油气多因素综合预测模型;再次,运用GIS强大的叠加分析方法进行多因素综合预测,自动生成油气富集区预测平面图。本文的研究,为油气富集区的预测提供了新的技术方法,有效地提高了预测效率。
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| 关 键 词： | 苏里格气田 地理信息系统(GIS) 叠加分析 富集区预测 |
The Multi-factor Comprehensive Prediction Method of Oil and Gas under the GIS Support:A Case Study in the Su120 Block of Sulige Gas Field |
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| LIANG Zi-jun,FENG Qiang-ban,CHEN Long,WEI Qian-sheng,REN Yue-fei,XIONG Zhe,WANG Guo-hua.The Multi-factor Comprehensive Prediction Method of Oil and Gas under the GIS Support:A Case Study in the Su120 Block of Sulige Gas Field[J].Geomatics & Spatial Information Technology,2017(4). |
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| Authors: | LIANG Zi-jun FENG Qiang-ban CHEN Long WEI Qian-sheng REN Yue-fei XIONG Zhe WANG Guo-hua |
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| Abstract: | The Sulige gas field is a tight sandstone gas field.The prediction and selection of oil and gas enriched area slays important foundation for tapping the resources.Conventional ways of predicting oil and gas accumulation areas have shortcomings like failure to conduct a comprehensive analysis of multidisciplinary results,complicated prediction process and low efficiency.This study carried out multifactor prediction of oil and gas enriched areas based on GIS in Sul20 Block of Sulige gas field.Firstly,spatial database of GIS was used for integrated management of pictures of multi-disciplinary outcomes;then according to space-based positioning,factors used for the prediction were extracted from pictures of multi-disciplinary outcomes to build a multifactor prediction model;next,the powerful overlay analysis of GIS was used for multifactor prediction and the system automatically generated prediction plans of oil and gas enriched areas.This study provides a new technique for the prediction of oil and gas enriched areas which will greatly improve the prediction efficiency. |
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| Keywords: | Sulige gas field GIS overlay analysis prediction of enriched areas |
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