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BTEX anomalies used as indicators of submarine oil and gas reservoirs

Acta Oceanologica Sinica 2009年第4期28卷 50-56页

作者： ZHANG Yong MENG Xiangjun SUN Ping CHEN Yanli QU Peng Key Laboratory of Marine Hydrocarbon Resources and Environment Geology of Ministry of Land and Natural Resources Qingdao Institute of Marine Geology Ministry of Land and Natural Resources Qingdao 266071 China Qingdao Institute of Marine Geology Ministry of Land and Natural Resources Qingdao 266071 China North China Sea Branch State Oceanic Administration Qingdao 266033 China

It is a conventional method for petroleum prospecting to generally use paraffin hydrocarbon as basic indexes of oil and gas. This conventional geochemical technology, however, shows some limits in the prospecting as paraffin is vulnerable to influences from human and biologic activities. Consequently, BTEX （short for benzene, toluene, ethyl benzene and xylem, which are direct biomarkers） among aromatic hydrocarbon series has been taken into account for the oil and gas prediction. Domestic and foreign study results demonstrate that BTEX is hardly disturbed and can well indicate oil and gas reservoirs. Based on measured data from a South China Sea area, the present authors have used self-developed visual assessment software for petroleum prospecting has been used to process data, strip background anomalies, and outline significant BTEX anomalies. By comparison with stratigraphic profiles of the target area, it is confirmed that BTEX is a good indication of marine oil and gas during the petroleum prospecting.

关键词： BTEX submarine petroleum prospecting chemical anomaly oil and gas reservoirs

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An improved data space inversion method to predict reservoir state fields via observed production data

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Petroleum Science 2021年第4期18卷 1127-1142页

作者： Deng Liu Xiang Rao Hui Zhao Yun-Feng Xu Ru-Xiang Gong Cooperative Innovation Center of Unconventional oil and gas(Ministry of Education&Hubei Province) Yangtze UniversityWuhan434023HubeiPR China School of Petroleum Engineering Yangtze UniversityWuhan434023HubeiPR China CNOOC oilfield Services Co. Ltd.Tianjin30000PR China

A data-space inversion(DSI)method has been recently proposed and successfully applied to the history matching and production prediction of reservoirs.Based on Bayesian theory,DSI can directly and effectively obtain good posterior flow predictions without inversion of geological parameters of reservoir model.This paper presents an improved DSI method to fast predict reservoir state fields(e.***.saturation and pressure profiles)via observed production data.Firstly,a large number of production curves and state data are generated by reservoir model simulation to expand the data space of original DSI.Then,efficient history matching only on the observed production data is carried out via the original DSI to obtain related parameters which reflects the weight of the real reservoir model relative to prior reservoir models.Finally,those parameters are used to predict the oil saturation and pressure profiles of the real reservoir model by combining large amounts of state data of prior reservoir models.Two examples including conventional heterogeneous and unconventional fractured reservoir are implemented to test the performances of predicting saturation and pressure profiles of this improved DSI method.Besides,this method is also tested in a real field and the obtained results show the high computational efficiency and high accuracy of the practical application of this method.

关键词： Fossil fuels oil and gas reservoirs Reservoir state fields Production data Data inversion method

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