Multiple Regression Analysis In The Assessment Of The Flooded Layer Formation Water Resistivity

At present. Daqing Oilfield old has entered the development phase of the late high water-cut stage, how to accurately identify the Water-flooded Zone to determine the Water-flooded level, and to further study the distribution of remaining oil is the key to potential oil fields. In the process of division the Water-flooded level in and determine the remaining oil saturation . formation mixed fluid resistivity is one of the most critical parameters. Over the years formation water resistivity value has been unable to obtain more accurate, which is calculated formation water saturation of the precise impact. The use of data logging formation water resistivity is not only a question of interpretation of domestic oil field workers facing the problem as well as the world's problems logging industry. On the current status quo, even if the world is going in the logging industry cutting-edge technology company Schlumberger, also in the production of spontaneous potential curve of the application, together with the well site to obtain information on some of the other plates are checked to estimate formation water resistivity. The computational accuracy cannot satisfy the Water-flooded Zone explanation request. In fresh water-flooded Zone, due to the resistivity of injection water is much higher than the raw water, the resistivity of water-flooded Zone in a new driied adjuestable well becomes very high, sometimes even higher than the resistivity of oill layers . The use of conventional logging methods, the water-flooded Zone is often interpreted as oill layers, In the water-flooded Zone 's resistivity of the formation water asks not to permit causes one of explanation wrong substantial clauses spontaneous potential Logging is effective method of identify the formation mixture resistivity Under the condition of logging series of adjustment well, formation water resistivity of water-flooded zone is not only an important fundamental parameter but also an "bottleneck" restricting water-flooded zone evaluation. Through summary and analysis of previous works, the paper presents a sample parent classification, it stake out the sample from different parent to one's respective parent,meet the requirement of regression analysis to normality attribute of sample. On the basis of effective classification, giving priority to SP logging, assisted by some other logging methods, the paper determine a good many influencing factors of static SP and its internal relation, and then water-flooded formation resistivity can be calculated through theoreical equation of formation water resistivity and static SP. Under the condition of borehole fluid or temperature logging, the method can achieve positive effect, it provide essential parameters for calculating residue oil saturation in water-flooded zone precisely and dividing water-flooded zone. The sample classification method provided is adapted to multivariate parameters regression analysis of various fields.After oill layers are flooded, injection water and the raw formation water mixed to form mixed fluid resistivity directly restricted the accuracy evaluation of the remaining oil. SP logging by measuring environmental impact, causing spontaneous potential logging and the actual of the static spontaneous potential are very different, this problem must first eliminate the factors that measured the spontaneous potential curve as far as possible to restore static spontaneous potential, and then into a quiet natural potential inversion formation water resistivity. This article discusses through multiple statistical analysis, a variety of factors affect of spontaneous potential logging relationship between the static spontaneous potential logging, and factors that affect the proposed correction method. The application of practical logging data interpretation and the oil-water analysis test data comparison, the results showed that this method can provide reliable formation water resistivity value. In order to achieve the current water reservoir formation water resistivity calculation for the water-flooded zone to provide the necessary technical studies to explain the geological parameters, raise the rate of interpretation to the water-flooded zone. At the same time, multi-factor correction plate Rendering for other applications in the fields of natural potential of the main factors that affect the correction method. For an accurate strike a water layer of oil saturation has laid a good foundation.