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Construction method of oil content index model for predicting oil content of reservoir and prediction method of oil content of reservoir

A technology of exponential model and construction method, applied in prediction, data processing applications, instruments, etc., can solve the problems of poor evaluation accuracy of reservoir oiliness and inability to quantitatively evaluate reservoir oiliness, so as to improve pertinence and planning , the effect of improving the accuracy

Pending Publication Date: 2020-02-07
中石化石油工程技术服务有限公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to provide a method for constructing an oil index model for predicting reservoir oiliness, so as to solve the problem that the prior art cannot use mud logging parameters to quantitatively evaluate reservoir oiliness
[0007] The second object of the present invention is to provide a method for predicting the oiliness of reservoirs, so as to solve the problem that the accuracy of evaluation of oiliness of reservoirs by existing geological logging interpretation methods is poor

Method used

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  • Construction method of oil content index model for predicting oil content of reservoir and prediction method of oil content of reservoir
  • Construction method of oil content index model for predicting oil content of reservoir and prediction method of oil content of reservoir
  • Construction method of oil content index model for predicting oil content of reservoir and prediction method of oil content of reservoir

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Experimental program
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Effect test

Embodiment 1

[0063] The construction method of the oil index model for predicting the oiliness of the reservoir in this embodiment includes the following steps:

[0064] 1) Based on the study of regional reservoir types and oil and gas characteristics, use rock color, oil occurrence, oil-bearing area, oil seepage area, oil smell, fluorescent color, fluorescent area, soaking solution color, series contrast level, groove surface display, The oil content level, drilling time change rate, reservoir thickness and other parameters representing the oil content and physical properties of the reservoir are compared with the initial oil production, and the fluorescence area, oil smell, soaking liquid color, series comparison level, and oil content level are determined as oily. Sensitive parameters, drilling time change rate and reservoir thickness are constrained parameters, and the data statistics are shown in Table 1.

[0065] Table 1 Statistical table of conventional mud logging parameters

[00...

Embodiment 2

[0107] The main difference in the construction method of the oil index model for predicting reservoir oiliness in this embodiment is that reservoir parameters are introduced to constrain the oil index model constructed in Example 1, so as to further improve the correlation between the model and the reservoir oiliness , including the following steps:

[0108] Step 1)-step 4): consistent with step 1)-step 4) of embodiment 1;

[0109] Step 5): Calculate the constrained oil index according to formula (4):

[0110] SGZ=(38S1+11S2+28S3+18S4+13S5)×(W1×QW1+W2×QW2) (4);

[0111] In the formula, SGZ is the constrained oil content index, S1, S2, S3, S4, and S5 are the standardized values ​​of fluorescent area, oil smell, soaking solution color, series contrast level, and oil content level, respectively; W1, W2 are the drilling time change rate, Reservoir thickness, QW1 and QW2 are the weights of W1 and W2 respectively.

[0112] In this embodiment, the initial weight of the drilling ti...

Embodiment 3

[0122] In an oilfield in the Ordos Basin, 3 new wells were selected for quantitative evaluation and productivity prediction. The original data of the new wells are shown in Table 5. According to the digitalization scheme of Example 2, the digital parameters were obtained (see Table 6). The parameters were standardized and substituted into the constrained oil index model to calculate the predicted production of 3 new wells. The comparison between predicted production and initial oil production is shown in Table 7.

[0123] It can be seen from Table 7 that the predicted initial oil production is in good agreement with the actual initial oil production, and the error is less than 10%, which shows that the oil index model is scientific and reasonable, and the prediction of initial oil production based on the oil index model is reliable.

[0124] Table 5 Display table of conventional mud logging parameters

[0125]

[0126] Table 6 Digitized table of conventional mud logging par...

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Abstract

The invention relates to a construction method of an oil content index model for predicting the oil content of a reservoir and a prediction method of the oil content of the reservoir, and belongs to the field of prediction of the oil content of the reservoir. The method comprises the following steps: 1) according to historical drilling data in a research area, acquiring logging parameters and initial oil production data which change along with depth; 2) assigning values to the qualitative parameters, and digitizing the qualitative parameters; 3) performing normalization processing on the digitized qualitative parameters and the digitized quantitative parameters; 4) setting initial weights of qualitative parameters and quantitative parameters, and calculating an oil content index; 5) fitting the preliminarily calculated oil content index with the initial oil yield, and determining a correlation coefficient; adjusting the weight of each logging parameter according to the correlation coefficient. According to the method, the sensitivity of different descriptive parameters to oil and gas is fully considered, the accuracy of oil content evaluation is improved, and effective data supportcan be provided for subsequent yield prediction and reservoir reconstruction.

Description

technical field [0001] The invention belongs to the field of predicting and evaluating oiliness of reservoirs, and in particular relates to a method for constructing an oil index model for predicting oiliness of reservoirs and a method for predicting oiliness of reservoirs. Background technique [0002] With the deepening of oil exploration and development, the production reserves of oil and gas development are constantly advancing towards low permeability and complex oil and gas reservoirs, and the relationship between oil, gas and water is becoming more and more complicated. Complex oil and gas reservoirs are affected by factors such as sedimentary facies, reservoir pore structure, oil and gas filling rate, crude oil density, and cuttings fragmentation degree. The parameters of mud logging qualitatively reflect that the quality of the reservoir is more and more intersected. The coincidence rate of qualitative interpretation conclusions gradually decreased, and could not be...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06Q10/04G06Q50/02
CPCG06Q10/04G06Q50/02Y02A10/40
Inventor 王飞龙杨春文吴天乾温伟雷国瑞程豪华刘剑波贾光亮
Owner 中石化石油工程技术服务有限公司
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