Evaluation And Productivity Prediction On Low Porosity & Low Permeability Reservoir In Daniudi Area

With the rapid development of society and technology, the consumption of energy has increased dramatically,and the exploration difficulty of petroleum has been faced with new challenges. Reservoir evaluation and productivity prediction is the key link to improve the effect of oil and gas exploration in the exploration of oil and gas, the productivity can provide particularly important basic data for oilfield development and strategic deployment, and can provide technical support for subsequent development.TheDaniudi region is the typical low porosity and low permeability sandstone reservoir, the content of shale is heavy, the fault development in the area, the reservoir type and the distribution of oil and gas are more complex. For medium and high porosity permeability reservoirs, oil and water flow is basically subject to Darcy law. However, for extra low permeability reservoir, the percolation mechanism is very complicated, and the factors that affect the production capacity are also very much.The study is in the full study based on the geological data, combined with the existing logging interpretation and evaluation technique and now conventional logging evaluation technique of reservoir. Different methods are used to analyze the factors of production capacity, then the capacityis carried out, and the result is good. Specific content as follows:No.1: A systematic analysis of the area of low permeability geological characteristics from sedimentary characteristics, petrology characteristics and fracture characteristics in different aspects. Then according to the reservoir characteristics of the study area by core calibration logging and the volume model combination method to make a comprehensive study of reservoir parameters, calculation model of clay content, permeability, saturation, and other parameters is established.No.2: In view of the difficulty of conventional log interpretation of low porosity and permeability reservoirs in the area of low porosity and permeability, this paper presents a new technique of well logging evaluation.No.3: The main factors that affect productivity are determined by gray correlation analysis, stepwise regression analysis and principal component analysis.No.4: Using the characteristics of log productivity index prediction method, inductive analysis and other methods of qualitative and quantitative analysis of the reservoir capacity, andachieved good results.To sum up the research method and train of thoughts on the one hand logging reservoir productivity evaluation and prediction provides a reference and bases, on the other hand for the deployment of the region development provides an important theoretical basis.