Study On The Fine Interpretation Of Donghe Sandstone Logging Reservoir In Tazhong 4 Oilfield

With developing of oilfield, oil and gas resources are drying up, which makes the future production become more and more difficulty. Fortunately using the logging data to descript oil reservoir can offer a good guidance for oilfield to implement production. A set of logging interpretation model that can better fit the real geological conditions will give the subsequent exploration and production a better geological support.Based on the analysis of the Tazhong4area’s geology, drilling, well logging, core experiment and production performance data, this article researched four characters of reservoir. Combining with conventional logging data from the study area, this article builds up a fine interpretation model as an important part to evaluate Donghe sandstone section. Author bassed on the means of production to determine the low limits of effective reservoir physical properties. Through the study of logging response characteristics of fluid, the autor concluded a series interpration standard, and used this standard to carry on the fine logging interpration on the researched region. The author who contraposing the strong heterogeneity and widespread barriers of Donghe sandstone’s conglomeratic part, has analysed core observation data and divided interlayer into argillaceous one, calcareous one and bad physical property one. By using conventional logging sequence and high-resolution dipmeter data, the autor presented a method which comprehensive using high-resolution matching and curve deconvolution to improve the vertical resolution of the old logging curves. This paper proposes a method to recognise the interlayer by using the worked curves. This article considered the characters of water flood as low resistance waste water after analyzed types of reinjected water. Through analyzing the well logging response of the water flood layer’s characters, partitioning flow unit and observing the resistance gradient, this paper qualitatively identified water flooded layer. Then built an oil-water relative permeability model and calculated the moisture content and oil displacement efficiency. At last, the autor gave a standard to classify water level in a quantitative way, which had got a better application effect.