Method and device for predicting SAGD yield
A technology of production prediction and prediction method, which is applied in the directions of measurement, earthwork drilling and production, wellbore/well components, etc. It can solve the problem of fineness of influence, difficulty in establishing a full reservoir model, and difficulty in accurately describing the formation of three-field changes. Expansion failure and other issues to achieve the effect of improving reliability
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Embodiment 1
[0059] The first embodiment of the present invention provides a method for predicting SAGD yield, such as figure 1 shown, including:
[0060] S101, obtaining a well pattern combination mode of the target oil reservoir, and determining a production prediction model of the target oil reservoir based on the well pattern combination mode;
[0061] S102, based on the output prediction model, determine the node data of each stage of the output change;
[0062] S103, based on the node data of each stage of the production change, predict the average daily oil production of each stage;
[0063] S104, based on the average daily oil production of each stage and the node data of each stage, predict the total oil production of the target oil reservoir in a preset time period.
[0064] In a specific embodiment, an appropriate yield prediction model needs to be selected. Therefore, it is currently necessary to establish a set of perfect reservoir engineering theory for SAGD technology. On...
Embodiment 2
[0195] Based on the same inventive concept, the present invention also provides a prediction device of SAGD output, such as Figure 10 shown, including:
[0196] The obtaining module 1001 is used to obtain the well pattern combination mode of the target oil reservoir, and determine the production prediction model of the target oil reservoir based on the well pattern combination mode;
[0197] A determining module 1002, configured to determine node data at each stage of output change based on the output forecast model;
[0198] The first prediction module 1003 is used to predict the average daily oil production of each stage based on the node data of each stage of the production change;
[0199] The second prediction module 1004 is configured to predict the total oil production of the target oil reservoir in a preset time period based on the average daily oil production of each stage and the node data of each stage.
[0200] In an optional implementation manner, it also inclu...
Embodiment 3
[0226] Based on the same inventive concept, an embodiment of the present invention provides a computer device, such as Figure 11 As shown, it includes a memory 1104, a processor 1102, and a computer program stored in the memory 1104 and executable on the processor 1102, and the processor 1102 implements the steps of the above-described SAGD yield prediction method when executing the program.
[0227] Among them, in Figure 11 In the bus architecture (represented by bus 1100 ), which may include any number of interconnected buses and bridges, bus 1100 will include one or more processors represented by processors 1102 and various types of memory represented by memory 804 circuits are linked together. The bus 1100 may also link together various other circuits, such as peripherals, voltage regulators, and power management circuits, etc., which are well known in the art and, therefore, will not be described further herein. Bus interface 1106 provides an interface between bus 110...
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