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Multiple regression analysis in the evaluation of water flooded layer formation water resistivity

Author: ChenXiaoLei
Tutor: LiuJiang
School: Heilongjiang University
Course: Applied Mathematics
Keywords: Spontaneous potential logging Formation water resistivity Flooded Layer Multivariate statistical analysis Mixed fluid resistivity
CLC: P631.8
Type: Master's thesis
Year: 2009
Downloads: 348
Quote: 2
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Abstract


Currently, the old area of ??Daqing Oilfield has entered late-stage development of the high water content, Waterflooding Reservoirs, how to accurately identify the flooded layer to determine the flooding level, and further study of the distribution of the remaining oil, oilfield key to tapping the potential in divided flooding level and the residual oil saturation process, formation mixture resistivity is one of the most critical parameters. formation water resistivity values ??over the years have not been able to more accurately obtained, calculate the current strata water saturation accuracy greater impact. use of logging data to calculate the formation water resistivity problem is not only the domestic oil fields to explain the problems faced by the workers, but also the world logging community problems. terms of the status quo, even walking in the world the logging sector technology forefront Schlumberger company, is also the application in the production of natural potential curve, plus the wellsite get some other information to estimate formation water resistivity investigation Plate, calculation accuracy Flooded Layer explanation can not meet requirements. much higher than the formation of freshwater flooding, due to the injection of water or back resistivity Note sewage connate water resistivity, the new hit adjust well flooded high resistivity layer, sometimes even more than the resistivity of the oil layer using conventional logging methods often flooded layer interpreted as a reservoir, the flooded layer within the formation water resistivity seeking not allowed is one of the important reasons lead to wrong interpretation of spontaneous potential logging reservoir after flooding can effectively identify stratigraphic mixture resistivity logging method, the tune open hole logging Series conditions under waterflood development the oilfield water flooded layer formation water resistivity is not only important basic parameters of water flooded layer evaluation also restricting flooded layer evaluation \analyzed by previous work, this paper, the classification of a sample of the mother, from different samples of maternal better placed under their parent to meet the requirements of the regression analysis of the normal attributes of a sample. effective classification on the basis of mainly spontaneous potential logging, supplemented by other logging methods, classification to determine the static natural potential influencing factors and its intrinsic relationship thus obtained according to the relationship between the formation water resistivity and static spontaneous potential theory flooded layer formation water resistivity borehole fluid temperature logging conditions, this method can be satisfactory for the accurate calculation of the flooding layer residual oil saturation, qualitative divided flooded layer to provide the necessary parameters. samples given classification, multi-parameter regression applications to various areas of great significance. the reservoir flooded after injection of a mixture of the resistivity of the formation water and the original formation water mixed accuracy directly hinders a correct evaluation of the remaining oil. spontaneous potential logging by measurement environmental impact caused by the spontaneous potential curve with the actual static spontaneous potential, to solve this problem we must first eliminate the impact of factors, measured spontaneous potential curve try to restore the static spontaneous potential static spontaneous potential anti reuse application of the actual logging performances formation water resistivity. discussed by multivariate statistical analysis, to establish a variety of influencing factors of spontaneous potential logging static spontaneous potential departure from the spontaneous potential logging correction method and its influencing factors. data interpretation, water sampling and testing oil analysis data comparison, the results show that this method can provide reliable formation water resistivity values ??in order to achieve flooding the reservoir formation water resistivity flooded layer to explain technical research to provide the necessary geological parameters; improve flooded layer interpretation is consistent with the rate, also has laid a good foundation for accurate strike flooded layer oil saturation.

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