庞玉东, 宋子齐, 何羽飞, 田新, 张景皓, 付春苗. 基于超低渗透砂岩储层试油产能预测分析方法  [J]. 石油钻采工艺, 2013, 35(5): 74-78.
引用本文: 庞玉东, 宋子齐, 何羽飞, 田新, 张景皓, 付春苗. 基于超低渗透砂岩储层试油产能预测分析方法  [J]. 石油钻采工艺, 2013, 35(5): 74-78.
PANG Yudong, SONG Ziqi, HE Yufei, TIAN Xin, ZHANG Jinghao, FU Chunmiao. Study on the testing productivity prediction method in ultra-low permeability sandstone reservoir[J]. Oil Drilling & Production Technology, 2013, 35(5): 74-78.
Citation: PANG Yudong, SONG Ziqi, HE Yufei, TIAN Xin, ZHANG Jinghao, FU Chunmiao. Study on the testing productivity prediction method in ultra-low permeability sandstone reservoir[J]. Oil Drilling & Production Technology, 2013, 35(5): 74-78.

基于超低渗透砂岩储层试油产能预测分析方法  

Study on the testing productivity prediction method in ultra-low permeability sandstone reservoir

  • 摘要: 针对HQ地区滑塌浊积扇储层受多期沉积、成岩及构造等因素影响,形成了该区广为发育相对高孔低渗、中孔低渗和低孔低渗并存复杂孔隙结构超低渗透储层流动层带,影响储层渗流和产能因素很多。利用超低渗透储层质量及其渗流结构的孔渗关系,提出储层合理产能参数、储层质量指标、流动层带指标、储能参数、油层有效厚度、渗透率、单渗砂层能量厚度、含油饱和度及其泥质含量综合评价储层试油产能。依据灰色理论油气试油产能预测分析方法及评价准则,利用不同角度计算的试油产能评价参数及其分类参数指标准确率、分辨率权衡提取超低渗透储层质量、渗流及产能信息,对该区44口井51个试油层段进行了试油产能预测检验,38口井45个试油产能评价预测结果与试油产能结果相吻合,试油产能预测符合率达到88.2%。克服了渗流机理不符合达西产能预测方法和流动层带局部参数不能准确表征复杂渗流特征造成产能评价失误,提升了超低渗透储层试油产能预测的定量评价能力,为该类特低—超低渗透储层产能预测提供出有效的信息和分析方法。

     

    Abstract: The layers of slump turbidite fans in HQ area are influenced by various period sedimentation, diagenesis and tectonic, which result in complex pore structure including high porosity low permeability, medium porosity low permeability and low porosity low permeability formation, and ultra-low permeability flow unit. There are lots of factors affecting reservoir seepage and production capacity. The testing oil capacity was comprehensively estimated from the aspects of reasonable productivity parameters, quality indexes, flow unit indexes, storage parameters, effective thickness of layers, permeability, energy thickness of single permeable sand layer, oil saturation and shale content based on the relationship of porosity and permeability in ultra-low permeability reservoir quality and seepage structure. The reservoir quality, seepage and capacity date were weighted and selected according to the grey theory of oil and gas test analysis method and evaluation criteria for oil production prediction, and it also considers the accuracy and resolution of productivity evaluation parameters and classification parameter. There are 44 well among 51 oil-testing intervals in HQ area carried out production prediction and 38 well with 45 evaluation and prediction results coincide with the actual oil testing production results. The prediction coincidence rate reached up to 88.2%. This method effectively overcomes the mistakes resulting from seepage mechanism opposing Darcy capacity equation and local parameters not fitting with complex seepage characteristics. Meanwhile, it promotes the quantitative evaluation ability furthest for ultra-low permeability reservoir productivity prediction, providing effective information and analysis method for extra-low and ultra-low reservoirs production prediction.

     

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