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Application Of Petrophysics Parameter Forward Modeling In N Area’s Reservoir Prediction

Posted on:2017-01-14Degree:MasterType:Thesis
Country:ChinaCandidate:H Y WangFull Text:PDF
GTID:2180330482484298Subject:Geological Engineering
Abstract/Summary:PDF Full Text Request
Along with the development of petroleum industrialization, accompanied by a substantial increase in computer processing ability, oil and gas exploration technology has made great progress. In recent years, China’s exploration industry has gradually increased, petroleum exploration focus has gradually turned from the structural oil-gas reservoir to lithological reservoir. Compared with the conventional structural reservoir, lithological reservoir has some of the more complex features, making exploration more difficult and making the technical accuracy requirements are also higher. This thesis is focus on studying the lithological reservoir in N Area which were affected by structural complexity and low data quality, and exploring the suitable techniques for reservoir prediction in N area.There are several techniques and methods focus on lithological reservoir prediction, it should choosing the appropriate methods upon the actual geological conditions, seismic data quality and logging data quality. Target reservoirs in the study area are affected by lithology, anticlines and tectonic faults. And the reservoirs show traits as thin layers, small distribution area, sporadic and discontinuous in horizontal distribution, complex oil and brine relationships and so on. In addition, the study area has poor seismic data quality and the well logging data qualities was uneven with different wells and some wells are lack of shear wave logging data, so N area is not suitable for the use of pre-stack inversion. Therefore, how to improve the post-stack seismic inversion based on reservoir resolving ability is the key of studying.Therefore, in order to improving the resolution of thin sandstone reservoirs prediction in area N, a comprehensive reservoir prediction method is proposed based on petrophysical parameters forward modeling and post-stack inversion technology. Due to the small thickness of the reservoir which cannot be accurately distinguish by seismic data only, it’s necessary to use other methods to improve the ability to distinguish the reservoirs. To introduce of seismic rock physics parameters forward modeling technology, analyzing the study area’s drilling logging information and analyze of well data valid firstly. Pretreating logs with poor quality and reconstructing the necessary missing curves. Then analyzing the reservoir parameters, using logs to calculate the desired physical properties curves(e.g. clay content, porosity, saturation, etc.), building the reservoir parameters interpretation model. With the guidance of geological data, the petrophysical forward modeling could obtain more sensitive simulating curves to the target reservoir, and seismic inversion using these curves could improve the seismic inversion resolution. Seismic attribute is a true reflection of the seismic data, contains a lot of geological information. So, the seismic attribute analysis technology can be used to constrain the reservoir prediction’s uncertainty.By combining the petrophysical parameters forward modeling, seismic inversion and seismic attribute analysis, inversion results obtained higher resolution and reservoir prediction result get higher precision so that could draw the favorable sandstone reservoir zones’ edges. Summarized the regional approach to improve the reservoir prediction accuracy where with poor quality seismic data and missed well logs. In this case, it has a certain application value and reference significance.
Keywords/Search Tags:Petrophysical Parameter Forward Modeling, Seismic Impedance Inversion, Stochastic Inversion, Reservoir Prediction
PDF Full Text Request
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