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Logging Data Interpretation Of Horizontal Wells In Lunnan Area Oil Field

Posted on:2017-03-02Degree:MasterType:Thesis
Country:ChinaCandidate:S ChenFull Text:PDF
GTID:2271330488450572Subject:Earth Exploration and Information Technology
Abstract/Summary:
Lunnan oil field from 1988 to the end of 2007,19 years accumulative total failure of 100,74 open well, injection 14 Wells. Oil output reached 531436 tons in 2007,the cumulative oil production reached 14216869 tons, composite water cut is 80.79%. In order to maintain the temperature and pressure of stratum, increase the recovery rate, Lunnan Oilfield in 1991 began with water flooding development,1994 turn for produced water reinjection. With the continuous development of water injection, the rate of water production continues to rise, the oil field has been in the stage of production decline. At the same time, the long-term water injection development also makes Lunnan oil field into the middle and high water cut stage, the oil saturation of the production layer is decreased, the water saturation is increased, and the water flooding pattern becomes more complicated.In this paper, the distribution of target segments in J III and T I. The JIII layer is a medium porosity and low permeability reservoir, the average effective reservoir porosity is between 15.9%~18.7%; TI reservoir is poor in physical properties, and the reservoir belongs to medium porosity and medium permeability reservoir. The average effective reservoir porosity is between 13.7%~17.8%. In full understanding of the current situation of water flooded reservoir interpretation in the Lunnan oil field, collect a certain number of cores, oil test, production logging data interpretation. In order to reduce the error of well logging data, the logging data collected in the block is standardized; To make sure the core data of the 4 cored wells at the exact depth; Explaining the target horizontal well and its guide hole, the response characteristics of well logging response characteristics of well water flooded layer in the area of the block are compared with that of the corresponding horizontal well logging response; using environmental correction of natural gamma, acoustic and density logging curves of horizontal well. With 34 samples of rock electricity experiment data respectively establish the porosity, permeability, saturation model as well as the oil-water relative permeability model. Well logging response features generally have multiple solutions, which makes the water flooded layer identification may also have multiple solutions. The water flooded layer not only can be evaluated by the ratio of well resistivity, but it also can be identified by the change of water flooded layer formation resistivity and spontaneous potential to reduce the magnitude of the relative amplitudes. This paper summarizes the actual situation within the block flooded layer, and the water production rate based on the level of flooding in the block layer is divided.S block based on the investigations oilfield as the research object, using the established logging interpretation of water-out reservoirs models and standards.11 interval in 3 Wells are explained, and the test data shows that among them 9 interval interpretation conclusions consistent with test results. The coincidence rate of 82%, the overall effect is well.
Keywords/Search Tags:water flooded layer, Log interpretation, Logging response characteristics, water production rate
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