System for monitoring complicated oil deposit flooding conditions

Abstract

The invention discloses a system for monitoring complicated oil deposit flooding conditions, comprising an input unit, a multi-level processing unit and a display unit, wherein the input unit is used for inputting well point geologic parameters; the multi-level processing unit is used for building hidden geologic characteristic parameters according to the well point geologic parameters input by the input unit, finishing multi-layer, multi-well, multi-phase and multi-driving power energy balance analysis and calculation of a block, further building an injecting and extracting correspondence relationship among wells and carrying out comprehensive inversion treatment on the layered and partitioned flooding conditions by using improper functions to obtain distribution data of various sucking sections and layered flooding conditions of the block and a single well in different periods; and the display unit is used for displaying the injecting and extracting correspondence relationship amongwells, built by the multi-level processing unit, and the obtained diagram result data of the distribution of the various sucking sections and the layered flooding conditions of the block and the single well in different periods. The system can obtain accurate layered flooding condition data and different levels of section analyzed result data, improve the extracting precision, and save the manpower and material resources.

Description

technical field [0001] The invention relates to the field of calculation methods, in particular to a complex oil reservoir water flooding condition monitoring system. Background technique [0002] The petroleum industry is the main artery of China's economy, and the stable supply of petroleum plays a pivotal role in maintaining the stable and high-speed operation of the domestic economy. Due to the lack of oil resources per capita in my country, in order to achieve a higher self-sufficiency rate and ensure the safety of oil supply, effective utilization, efficient development, and fine adjustment have become one of the most fundamental guiding principles for oilfield development. [0003] After years of water flooding development, most of the major oil reservoirs in China have experienced poor development effects, manifested as rising water cuts, declining production, difficulties in stabilizing production, and lower grades. The difficulty of oil reservoir operation and man...

AI Technical Summary

Problems solved by technology

The main problem of this kind of technology is that it cannot reflect the plane law and interwell law

[0014] (2) From the perspective of data foundation, most oilfields have accumulated quite a lot of various data such as reservoir geology, development dynamics, production logging and so on. Due to the differences in time and space, the utilization rate of data is very low. And there is no quantitative comparative analysis and research, which cannot meet the requirements of development and adjustment in high water cut periods, and is out of touch with current oilfield development research

[0017] At the same time, the process of data application also reflects the main problems at present: First, the current dynamic monitoring technology mainly works on a single well, lacks regional integrity and time consistency, and cannot systematically explain and evaluate the target, resulting in test Partial waste of information; second, from the perspective of reservoir management and understanding, starting from the basis of reservoir engineering, deepening the understanding of dynamic monitoring information; not maximizing the role of monitoring data understanding and boundaries; in addition, the current dynamic monitoring interpretation 1. The evaluation basic data is single, and there is no comprehensive interpretation research combined with other data, which is out of touch with the current research direction of oilfield development

[0018] (3) In terms of research accuracy, the complex reservoir system in the high water-cut period needs to study the water-flooded condition and remaining oil distribution with precision ranging from small-scale to large-scale. The unique method system can meet the requirements of the site

[0020] According to the current research methods and accuracy of remaining oil distribution, the research accuracy of remaining oil distribution is divided into micro-scale, small-scale, large-scale and macro-scale. At present, relatively mature research methods and research methods with relatively reliable accuracy are mainly concentrated in the "large-scale" field. According to the actual requirements of the site, the accuracy of the remaining oil distribution research should be as accurate as possible to the "small-medium-scale" level between small-scale and large-scale

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