Application Of Logging Data In Improving Low Porosity And Low Permeability Oil-bearing Reservoirs

Current low porosity and low permeability reservoirs became the target of exploration and development in Shengli oilfield. It is also one of puzzle on logging evaluation. The aid of this study is how to apply logging data in improving low porosity and low permeability oil-bearing reservoirs. On the basis of analysis of the geology feature, flowing property and development characteristics of low porosity and low permeability oil layer, research the relationship among lithology, geophysical property, electric property and hydrocarbon bearing, Then establishing regional reservoir evaluation standard in Shang 543 block, Jiangjiadian oilfield and Bonan-gubei reservoir, Further classify oil bearing layers in order to provide Fracturing layer of interest and accuracy reservoir parameters. Some typical examples of Nuclear Magnetic Resonance Logging proved the advantage and reliability on evaluation the porosity, permeability and fluid property of low permeability reservoirs. Based on XMAC-â…¡logging data and combinated the relationship among conventional logging data, petrophysical analysis data, Fracturing and oil testing results, establish rock mechanical parameter math models. Furthermore, rock mechanical characteristics analysis and forecast the result of fracturing operation. One is borehole environment stability evaluation, which including ideal mud density, sanding prediction and perforation optimum plan, the other is the prediction of fracturing height and fracture extension direction. Fracturing is a main step in increasing production of low porosity and low permeability reservoirs. The method of low porosity and low permeability evaluation and fracturing prediction models provide important fracturing object layer and parameters for in-situ fracturing operation, the result of which is better.