Through the description and prediction of the characteristics of shale oil reservoirs in the target strata section of the district, the quality of the upper and lower "sweet spot" is comprehensively analyzed, and a set of characteristic prediction technology processes containing "geological sweet spot" (lithology, physical properties, source rock characteristics) and "engineering sweet spot" (clay content, rock brittleness) are formed, which provides technical support for the evaluation and deployment of shale oil and the design of horizontal wells.

The research area of this project is a Carboniferous-Permian uplift, which belongs to the reservoir rich area, which has been located in the oil and gas transport directional zone for a long time. It has a superior structural location. The Permian multilayer reservoir has been discovered in this area and adjacent areas, where a certain target layer has obtained high production with great exploration potential. The depleted mud and gravel facies in the leading waterway of the fan delta developed in the destination strata are the most favorable reservoir collectives, so this research task aims to identify the distribution of lean sludge pore grit reservoirs as the core goal.

This research plan is to implement the spatial spread of high-quality reservoirs and reservoir parameters in the target layer section through pre-stack inversion reservoir characterization. On the basis of three-dimensional elastic parameters, research on geomechanical parameters and geostress prediction have been carried out. A fine three-dimensional geological engineering integration model has been established. The drilling rate of horizontal well oil reservoir through the optimization design of horizontal well trajectory is improved. The engineering “sweet spot” quality evaluation parameters for excellent and fast drilling and fracturing design have been provided.

This research area is a certain offshore survey. The predecessors used three-dimensional seismic data to predict the favorable reservoir of the target layer. Then the plane spread of the reservoir has been basically clarified. But there is a certain error in the thickness of the sand body and porosity permeability relationship of the reservoir of the target layer are poor. The high-permeability "sweet spot" reservoir cannot be effectively inverted by relying on conventional seismic parameters. This study expects to use the "two wide" seismic data to carry out technical research and solve the above geological problems.

The carbonate reservoirs in the study area are deeply buried. The reservoir heterogeneity is strong and it is difficult to accurately predict the reservoirs by interpreting conventional seismic properties, which seriously restricts the research work such as well replacement and follow-up drilling. The purpose of this project is to finely characterize the carbonate reservoirs in the study area through fine reservoir inversion technology.

Multi-well logging data consistency check is an important quality control link in the seismic constraint inversion of well calibration. Due to the possible systematic errors of different series of logging instruments, the difference in the performance of the mud used in each well, and the influence of the wellbore, there are great differences between the different wells affected by the above factors. The logging and measurement environment in this area is poor and many wells have collapsed seriously in the mudstone marker layer section. It is impossible to obtain sufficiently stable sample points for fitting correction on a single well. It is necessary to use multi-well sample points for fitting.