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Water-flooded layer water productivity quantitative forecasting method and system thereof

A prediction method and technology of water production rate, applied in the fields of earth-moving drilling, wellbore/well components, etc., can solve the problems of increasing difficulty in utilization, inability to predict the degree of increase in water flooding, inability to obtain oil layer logging data, etc.

Active Publication Date: 2011-01-12
PETROCHINA CO LTD
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Problems solved by technology

[0003] (1) Logging parameters are limited by formation conditions, drilling process, logging technology and other factors, which will affect the judgment accuracy of water flooded degree
[0004] (2) The original logging data can only reflect the water-flooded state of the water-flooded layer at the time of logging, and it is not time-sensitive
The water-flooded zone is often not perforated and put into production immediately after logging. When the water-flooded zone is developed by water injection, the water-flooded degree will increase. Therefore, it is impossible to predict the water-flooded zone after water flooding with the original logging parameter data. degree of increase
[0005] (3) The prediction accuracy of water production rate in water-flooded layer is low
Restricted by the principle of the prediction method itself, conventional technology can only make qualitative judgments on the water production rate of the water-flooded layer, and cannot meet the requirements of quantitative prediction
[0006] (4) Conventional forecasting methods have certain limitations
It uses statistical laws to predict, but for small fault blocks or single well points, due to the small number of samples in the predicted water-flooded zone and the less data of oil testing and production, it is impossible to establish a relationship chart between the logging curve and the degree of water flooding. Unable to predict flooded layer
[0007] (5) It is impossible to predict the water production rate of the new water-flooded layer
When the oil well was put into production, some oil layers were left unproduced, and when these undeveloped oil layers absorbed water and became water-flooded layers, even if there were conventional water-flooded layer prediction relationship charts, it was still impossible to judge the remaining oil layers because of the inability to obtain logging data after water-absorbed oil layers. The water production rate, which was originally interpreted as an oil layer, has increased the difficulty of utilizing water-flooded layers after absorbing water

Method used

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  • Water-flooded layer water productivity quantitative forecasting method and system thereof
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  • Water-flooded layer water productivity quantitative forecasting method and system thereof

Examples

Experimental program
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Effect test

Embodiment 1

[0075] Example 1: Small 9-2-5 well

[0076] The well is located in the Guan 979 fault block of Dagang Xiaoji Oilfield. The oil-bearing layers are Zao II, III, and IV oil formations of the first member of Kongdian Formation in the Lower Tertiary. It was injected after oil testing in December 1994. The water injection well section is 2951-3032m , a total of 53.1m / 10 floors. Due to development needs, the original water injection layer was sealed, and the upper set of water-flooded layers was re-opened for mining. By splitting the water injection volume of each small layer of adjacent water injection wells, the injection pore volume of the water-flooded layer is calculated to be 0.262. From the relationship between the water production rate and the injection pore volume multiple of the Guan 979 fault block reservoir, the injection pore volume multiple is When 0.262, the corresponding predicted water production rate is 65%. Based on this as a guide, the well was sealed, repaired ...

Embodiment 2

[0077] Example 2: Small 10-5-3 well

[0078]The well is located in the Guan 938 fault block of Dagang Xiaoji Oilfield, and the oil-bearing layers are the Zao II, III, and IV oil formations of the first member of the Kongdian Formation of the Lower Tertiary. Before the water-flooded layer was repaired, the production layer was the Zao IV oil group, with a production well section of 2888.1-3016.1m, a total of 54.7m / 15 layers, a daily liquid production of 166.7 cubic meters, a daily oil production of 8.5 tons, and a water production rate of 94.9%. According to the research on the remaining unexploded water-flooded layers of Jujube III1, the injection pore volume of the water-flooded layer is calculated to be 0.4572. From the graph of the relationship between the water production rate and the injection pore volume multiple of the Guan 938 fault block reservoir, the injection pore volume multiple is When 0.4572, the corresponding predicted water production rate is 88%. Based on th...

Embodiment 3

[0079] Example 3: Small 10-4-3 wells

[0080] The well is located in the Guan 938 fault block of Dagang Xiaoji Oilfield. It was put into production in June 1992. The production layer is the Zao IV oil group in the Kong 1 member of the Lower Tertiary Kongdian Formation. Before the water-flooded layer was repaired, the well had a daily liquid production of 41.7 cubic meters, a daily oil production of 5.0 tons, and a water production rate of 88%. According to the research on the remaining unexploded water-flooded layer of Zao III3, the injection pore volume of the water-flooded layer is calculated to be 0.5630. From the relationship between the water production rate and the injection pore volume multiple of the Guan 938 fault block reservoir, the injection pore volume multiple is When 0.5630, the water production rate of the water-flooded zone is predicted to be 90.5%. Based on this as a guide, the water-flooded layer was refilled (the hole-repaired water-flooded layer section w...

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Abstract

The invention discloses a water-flooded layer (i.e. an oil layer water subjected to absorbing water) water productivity quantitative forecasting method and a system thereof. The method comprises the following steps of: establishing a relation chart of the water productivity surplus rate 1-fw of different periods since the investment development of an oil deposit to injection pore volume multiple N1 according to the original water productivity data fw, accumulated water injection rate Wi and oil layer pore volume PV of the oil deposit; and finding the corresponding water productivity data fw according to the relation chart and the current water-flooded layer injection pore volume multiple N2 of the oil deposit, and working out the water productivity data fw corresponding to the injection pore volume multiple N2 of the current water-flooded layer according to a fit computational formula. The system comprises a relation chart establishing module, a computation module and a forecasting module. The water-flooded layer water productivity forecasting accuracy and timeliness can be improved, and the water-flooded layer water productivity forecasting range is broadened by the forecasting method and the system thereof.

Description

technical field [0001] The invention relates to the field of prediction of water-flooded layer water production rate, in particular to a method and system for quantitatively predicting water-flooded layer water production rate in the oilfield development process. Background technique [0002] In the water-flooded zone water production rate prediction method, the principle of conventional water-flooded zone water production rate discrimination technology is to establish the relationship between the water-flooded zone-related logging parameters and water-flooded degree based on the results of oil testing and test production in the water-flooded zone plate. Guided by this relationship chart, the relevant logging parameters of the water-flooded zone can be used to make a qualitative judgment on the water-flooded degree of the water-flooded zone. However, this method has some shortcomings and still needs to be further improved or improved: [0003] (1) Logging parameters are li...

Claims

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Application Information

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IPC IPC(8): E21B49/00E21B49/08
Inventor 张家良蔡明俊陈智宇李强李晓良郭小龙
Owner PETROCHINA CO LTD
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