Oil and gas well technical recoverable reserves prediction method

A prediction method and technology for oil and gas wells, which are applied in the fields of earth-moving drilling, wellbore/well components, etc., can solve problems such as difficult to predict results, blindness of model application, affecting application effects, etc., and achieve the effect of improving prediction accuracy.

Active Publication Date: 2016-05-11
CHINA PETROLEUM & CHEM CORP +1
View PDF4 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above three models are all empirical or semi-empirical models. Under the current conditions, when applied to field wells, the effect is good and bad, and it is difficult to obtain definite prediction results.
Based on the different models formed by co

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Oil and gas well technical recoverable reserves prediction method
  • Oil and gas well technical recoverable reserves prediction method
  • Oil and gas well technical recoverable reserves prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] figure 1 It is a schematic composition diagram of the oil and gas well technical recoverable reserves prediction system provided by the embodiment of the present invention. from figure 1 It can be seen that the system mainly includes:

[0042] Data collection module 100, collecting daily output and cumulative output data;

[0043] The graph drawing module 200 draws the daily output and material balance time relationship curve according to the daily output and cumulative output data, and the material balance time is the ratio of the cumulative output to the daily output of the time corresponding to it; Curve derivation draws a characteristic line segment, and the characteristic line segment is a line segment whose slope is a specific value;

[0044] The model building module 300 judges the flow field type according to the distribution of the characteristic line segment in the daily output and material balance time relationship curve, and then establishes a corresponding...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an oil and gas well technical recoverable reserves prediction method. The method comprises: collecting daily output and accumulated output data; according to the daily output and accumulated output data, drawing a daily output and material balance time relation curve, the material balance time being ratio of accumulated output and daily output in corresponding time, then, through taking a derivative of the daily output and material balance time relation curve, drawing a feature segment, the feature segment being a segment whose slope is a special value; according to the distribution condition of the feature segment in the daily output and material balance time relation curve, determining a flow filed type, and then according to the flow filed type, establishing a corresponding production decline analysis model; finally, under a set constraint condition, according to the production decline analysis model, predicting technical recoverable reserves. In the method, the production decline analysis model is unified in the same decision rule, and analysis and selection of adaptability of the production decline analysis model are performed through flow field identification, so as to predict technical recoverable reserves. The method can solve technical problems in the prior art that a prediction result is not determined caused by blindly choosing a model, and the method improves prediction precision of the technical recoverable reserves.

Description

technical field [0001] The invention relates to oil and gas exploration prediction technology, in particular to a method for predicting technical recoverable reserves of oil and gas wells applicable to dynamic evaluation of shale gas wells and other types of oil and gas wells. Background technique [0002] Recoverable oil and natural gas reserves refer to the amount of oil (gas) that can be recovered from an oil (gas) well (field) (reservoir) under the current industrial technical conditions. Recoverable reserves are not only related to natural conditions such as oil (gas) reservoir type, reservoir physical properties, fluid properties, driving type, etc., but also to man-made factors such as well layout, injection mode, oil recovery technology, oil (gas) field management level, and economic conditions. factors. Technically recoverable reserves refer to the recoverable reserves that may be recovered based on the current industrial technical conditions, but have not undergon...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): E21B49/00
Inventor 庞伟杜娟贺英吴琼邸德家毛军
Owner CHINA PETROLEUM & CHEM CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products