Prediction Techniques Of The Spatial Distribution Law Of Glutenite Reservoir In Yanjia Area

With the progress of exploration of domestic oil and gas fields development,the conventional structural oil and gas reservoirs has been discovered.At this present stage,The proportion of exploration and development of lithologic subtle reservoirs is increasing day by day.Due to the interaction of tectonic setting and sedimentary model,the tight glutenite reservoir has the characteristics of strong heterogeneity,poor physical property,narrow phase belt and high oil content,the identification and prediction of favorable reservoir is the key problem of exploration and development of such reservoirs.Due to the current technical level constraints,The exploration and development of this type of reservoir faces various problems,It is very important to carry out research on related topics.The study area of this paper is the salt 22 block of Dongying depression..In this paper,firstly,the geological survey of the salt 22 area is summed up.The study area is the four member of the Shahe formation.The main section of the target stratum is mainly sandy conglomerate nearshore subaqueous fan which is formed by outflow of the river from the high ground and the direct entry into the shallow lake area after the roller Valley.Its main part of the basin is located in the water and the wedge is inserted into the deep lake facies.The glutenite fan developed in this section has the characteristics of small horizontal distribution and vertical multi period overlapping.Secondly,In this paper,the original seismic data has been analyzed.At the same time,the calibration and interpretation of synthetic seismic records has been done.By means of seismic forward modeling and comparative analysis of drilling data,we study the formation of glutenite fan in the target area.Seismic attribute analysis is also used in the study,we has selected the seismic attributes with obvious response to sand conglomerate.Based on wave impedance inversion,the favorable area for the development of conglomerate has also been obtained.Considering the shortcomings of theconventional interpretation software in describing the spatial distribution characteristics of glutenite fan,I compile a program module for 3D visualization of seismic data volume and tracing of sand and gravel characteristics by myself.Through the organic combination with the conventional interpretation,we can obtain a spatial basis for describing the distribution characteristics of the glutenite fan.