CN202441354U - Oil field steam flooding injection production optimizing prediction device - Google Patents

Oil field steam flooding injection production optimizing prediction device Download PDF

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Publication number
CN202441354U
CN202441354U CN2012200761704U CN201220076170U CN202441354U CN 202441354 U CN202441354 U CN 202441354U CN 2012200761704 U CN2012200761704 U CN 2012200761704U CN 201220076170 U CN201220076170 U CN 201220076170U CN 202441354 U CN202441354 U CN 202441354U
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data
module
steam flooding
injection production
oil field
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CN2012200761704U
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倪红梅
刘永建
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Northeast Petroleum University
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Northeast Petroleum University
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Abstract

The utility model discloses an oil field steam flooding injection production optimizing prediction device and belongs to data processing devices which are used for purpose prediction. The device comprises a data storage module, a data collecting module and a data processor. A steam flooding injection production prediction module, the data storage module, a steam flooding injection production optimizing module, a result output module and the data collecting module are all connected with the data processor, the data collecting module inputs data into the data processor, and the data processor outputs the data into the result output module. According to the oil field steam flooding injection production optimizing prediction device, a particle swarm algorithm is achieved by the aid of the data processor of a computer, so that a flooding injection production scheme is precise, the accuracy determined by the flooding injection production scheme is improved remarkably, the time determined by the scheme is shortened greatly, the defects that existing determined methods are low in accuracy and poor in popularization ability are overcome effectively.

Description

The oil field steam flooding is annotated and is adopted the optimization prediction unit
Technical field
The utility model belongs to the data processing equipment of predicting purpose, relates to a kind of oil field steam flooding notes specifically and adopts the optimization prediction unit.
Background technology
Along with the continuous development of global economy, the status of oil seems more and more important, and under the situation that the thin oil resource constantly reduces, People more and more is paid attention to the exploitation of viscous crude.At present, China's viscous crude annual production has reached 3,000 ten thousand tons, accounts for 10% of national crude output, in the whole petroleum industry sustainable development of China, is playing the part of crucial role.Steam flooding is one of main means of exploitation heavy crude reservoir, and the scale of enforcement constantly enlarges.Steam flooding is according to certain well pattern form, from injecting well steam in jection continuously, drives peripherad producing well to oil, and in this course with the oil heating, reduces its viscosity.Steam drive development is an extremely complicated system engineering, has become one of major technique of worldwide heavy crude producing.Steam flooding can be obtained development effectiveness preferably as a kind of efficient ways of production of heavy oil reservoir.When geology reservoir one timing, the steam drive development effect receives the direct influence of technological parameter.Chinese scholars is analyzed and is studied effects of process parameters steam driving exploitation effect; Determining steam injection rate, steam quality, steam injection pressure is the key factor that influences steam flooding injection-production program quality; Confirm that preferably these parameters can improve recovery ratio and can effectively prolong the producing well life-span, obtain steam drive reservoir maximum efficient rate and economic optimum.At present, the definite of technological parameter mainly is to provide many group technological parameters by the rich experiences that the steam flooding expert accumulates according to oneself for many years in the steam flooding constructure scheme, through a large amount of analog computations, also do not have a kind of prediction unit of practicality through the oil field numerical simulation software.And artificial prediction is to select preferred plan according to certain economic indicator for foundation, adopts parameter thereby determine optimum notes.This steam flooding process parameter optimizing method is owing to receive steam flooding expertise and analog computation quantitative limitation; The steam flooding technological parameter that obtains not is optimum; And this optimization method workload is very huge, and the steam flooding injection-production program precision that obtains is not high, and oil displacement efficiency is relatively poor.Therefore, it is very necessary provide a kind of oil field steam flooding to annotate adopting the optimization prediction unit.
Summary of the invention
For addressing the above problem; The oil field steam flooding of the utility model is annotated to adopt and is optimized prediction unit and aim to provide and a kind ofly can utilize computer intelligence to optimize steam flooding to annotate mining method and carry out dynamic prediction and adjustment to optimizing structure, and the oil field steam flooding that improves the accurate precision of steam flooding injection-production program is annotated and adopted the optimization prediction unit.
The oil field steam flooding of the utility model is annotated and is adopted the optimization prediction unit, is to be made up of data memory module, data acquisition module and data processor.Steam flooding annotate adopt prediction module, data memory module, steam flooding annotate adopt optimal module, output module and data acquisition module all connect with data processor as a result; Data acquisition module inputs to data processor, data processor exports output module as a result to.
As the further improvement of the utility model, described data memory module is made up of pseudo-static random access memory and flash memory.
The oil field steam flooding of the utility model is annotated and is adopted the optimization prediction unit; Data processor by computer is accomplished particle cluster algorithm; It is more accurate that the steam flooding injection-production program is confirmed, significantly improved the precision that the steam flooding injection-production program is confirmed, shortened the time that scheme is confirmed greatly; Effectively overcome and existing confirm that precision is low in the method, promote the shortcoming of ability.
Description of drawings
Fig. 1 annotates to adopt for the oil field steam flooding of the utility model and optimizes prediction unit circuit connection diagram;
Fig. 2 annotates to adopt for the oil field steam flooding of the utility model and optimizes prediction unit optimal module circuit theory diagrams;
Fig. 3 annotates to adopt for the oil field steam flooding of the utility model and optimizes prediction unit prediction module circuit theory diagrams.
The specific embodiment
The oil field steam flooding of the utility model is annotated and is adopted the optimization prediction unit, is to be made up of data memory module 3, data acquisition module 6 and data processor 1.Steam flooding annotate adopt prediction module 2, data memory module 3, steam flooding annotate adopt optimal module 4, output module 5 and data acquisition module 6 all connect with data processor 1 as a result; Data acquisition module 6 inputs to data processor 1, data processor 1 exports output module 5 as a result to, and is as shown in Figure 1.Wherein data acquisition module is the input and output of signal, comprises A/D input, D/A output and digital quantity input and output; Data memory module comprises pseudo-static random access memory PSRAM and flash memory.This device is used particle cluster algorithm the steam flooding injection-production program is carried out intelligent optimization; And Optimization result is carried out dynamic prediction and adjustment; Improved the precision that the steam flooding injection-production program is confirmed, greatly improved the steam flooding oil displacement efficiency, for the field conduct of steam flooding provides strong technical support.
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Figure 895178DEST_PATH_IMAGE002
Figure 423428DEST_PATH_IMAGE004

Claims (2)

1. the oil field steam flooding is annotated and is adopted the optimization prediction unit; Be to constitute by data memory module (3), data acquisition module (6) and data processor (1), it is characterized in that steam flooding annotate adopt prediction module (2), data memory module (3), steam flooding annotate adopt optimal module (4), output module (5) and data acquisition module (6) all connect with data processor (1) as a result; Data acquisition module (6) inputs to data processor (1), data processor (1) exports output module (5) as a result to.
2. oil field as claimed in claim 1 steam flooding is annotated and is adopted the optimization prediction unit, it is characterized in that data memory module (3) is made up of pseudo-static random access memory and flash memory.
CN2012200761704U 2012-03-04 2012-03-04 Oil field steam flooding injection production optimizing prediction device Expired - Fee Related CN202441354U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2012200761704U CN202441354U (en) 2012-03-04 2012-03-04 Oil field steam flooding injection production optimizing prediction device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2012200761704U CN202441354U (en) 2012-03-04 2012-03-04 Oil field steam flooding injection production optimizing prediction device

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CN202441354U true CN202441354U (en) 2012-09-19

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105134147A (en) * 2015-07-18 2015-12-09 东北石油大学 Intrastratal heterogeneous well pattern model capable of realizing quality classification injection and production

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105134147A (en) * 2015-07-18 2015-12-09 东北石油大学 Intrastratal heterogeneous well pattern model capable of realizing quality classification injection and production

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