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| 1 | 钻遇大型溶洞的油井参数及储层参数动态评价方法显示文摘缝洞型碳酸盐岩油藏储集体类型多样,大型溶洞、溶孔及多尺度裂缝发育,储集体形态不规则、尺度差异大、连通性差,储层非均质性极强。大型溶洞是主要的储集空间,裂缝主要为渗流通道,油水分布复杂。目前基于地震资料解释的缝洞型储集体静态雕刻方法对油井地质储量评价的误差较大,且该静态方法无法评价其他油井参数和储层参数。利用油井实际生产数据,基于产量不稳定分析方法,提出了一种运用动态数据评价油井动态储量及其他储层参数和油井参数的新方法,即:将大尺度溶洞储集体模型视为大型溶洞与周围小尺度孔洞缝组成的多重介质复合模型,大型溶洞内的流体流动等效为自由流,周围复杂小尺度孔洞缝内流体流动等效为达西渗流,进而建立渗流-自由流耦合数学模型;通过求解获得缝洞体中油井的产量不稳定分析曲线,并进行各参数的敏感性分析。同时,经过规整化处理,构建归一化的Blasingame典型曲线图版,并通过图版的拟合最终建立储集体油井参数和储层参数的评价方法和流程。通过塔里木油田现场实际应用,验证了方法的可靠性和实用性,获得的储集体各项参数可评价油井生产动态及指导油藏下一步的合理开发部署。 | 于清艳 胡向阳 李勇 贾英 | 2020 | 石油与天然气地质2020，41，3： | 4 |
| 2 | Integrated petrophysical log characterization for tight carbonate reservoir effectiveness: A case study from the Longgang area, Sichuan Basin, China显示文摘Ultra-low porosity and permeability, inhomogeneous fracture distribution, and complex storage space together make the effectiveness evaluation of tight carbonate reservoirs difficult. Aiming at the carbonate reservoirs of the Da'anzhai Formation in the Longgang area of the Sichuan Basin, based on petrophysical experiments and logging response characteristics, we investigated the storage properties of matrix pores and the characteristics of fracture development to establish a method for the characterization of effectiveness of tight reservoirs. Mercury injection and nuclear magnetic resonance (NMR) experiments show that the conventional relationship between porosity and permeability cannot fully reflect the fluid flow behavior in tight matrix pores. Under reservoir conditions, the tight reservoirs still possess certain storage space and permeability, which are controlled by the characteristic structures of the matrix porosity. The degree of fracture development is crucial to the productivity and quality of tight reservoirs. By combining the fracture development similarity of the same type of reservoirs and the fracture development heterogeneity in the same block, a three-level classification method of fracture development was established on the basis of fracture porosity distribution and its cumulative features. According to the actual production data, based on the effectiveness analysis of the matrix pores and fast inversion of fracture parameters from dual laterolog data, we divided the effective reservoirs into three classes Class I with developed fractures and pores, and high-intermediate productivity; Class II with moderately developed fractures and pores or of fractured type, and intermediate-low productivity; Class III with poorly developed fractures and matrix pores, and extremely low productivity. Accordingly log classification standards were set up. Production data shows that the classification of effective reservoirs is highly consistent with the reservoir productivity level, providing a new approach for the effectiveness evaluation of tight reservoirs. | Deng Shaogui Wang Yang Hu Yunyun Ge Xinmin He Xuquan | 2013 | Petroleum Science2013，10，3： | 3 |
| 3 | A novel method of quantitative evaluation and comprehensive classification of low permeability-tight oil reservoirs: A case study of Jidong Oilfield, China显示文摘The classification of low permeability-tight reservoirs is the premise of development. The deep reservoir of Shahejie 3 member contains rich low permeability-tight reserves, but the strong heterogeneity and complex micro pore structure make the main controlling factors subjective and the classification boundaries unclear. Therefore, a new indicator considering the interaction between fluid and rock named Threshold Flow Zone Indicator(TFZI) is proposed, it can be used as the main sequence of correlation analysis to screen the main controlling factors, and the clustering algorithm is optimized combined with probability distribution to determine the classification boundaries. The sorting coefficient, main throat radius, movable fluid saturation and displacement pressure are screened as the representative parameters for the following four key aspects: rock composition, microstructure, flow capacity and the interaction between rock and fluid. Compared with the traditional probability distribution and clustering algorithm, the boundary of the optimized clustering algorithm proposed in this paper is more accurate.The classification results are consistent with sedimentary facies, oil levels and oil production intensity.This method provides an important basis for the development of low permeability-tight reservoirs. | Dong-Liang Jiang Hao Chen Jian-Peng Xing Lin Shang Qun-Hui Wang Yan-Chun Sun Yao Zhao Jian Cui Ian Duncan | 2022 | Petroleum Science2022，19，4： | 0 |
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