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a co 2 4D seismic data co in geological storage 2 Methods for Distribution Prediction

A four-dimensional seismic and geological storage technology, applied in seismic signal processing and other directions, can solve problems such as inability to correctly identify CO2 distribution, and achieve the effects of accurate elastic characteristics, accurate model establishment, and accurate calculation

Active Publication Date: 2017-04-05
NORTHWEST UNIV
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Problems solved by technology

[0018] In this case, the traditional AVO method based on the two-layer media model cannot correctly identify the storage and subsurface CO 2 distributed

Method used

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  • a co <sub>2</sub> 4D seismic data co in geological storage <sub>2</sub> Methods for Distribution Prediction
  • a co <sub>2</sub> 4D seismic data co in geological storage <sub>2</sub> Methods for Distribution Prediction
  • a co <sub>2</sub> 4D seismic data co in geological storage <sub>2</sub> Methods for Distribution Prediction

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Embodiment

[0056] a CO 2 4D Seismic Data CO in Geological Storage 2 A method for distribution prediction, comprising the following steps:

[0057] First, we use Xu's formula (2006) to calculate the CO 2 Elastic parameters, the results are more realistic, and are quite different from the conventional method and software using the Batzle-Wang formula (1992); in this way, CO can be obtained 2 Velocity, density, elastic modulus and other elastic parameters of fluid mixed with brine, oil, and gas. figure 1 CO calculated using Xu's formula (2006) 2 Elastic parameters (dotted line) are compared with the results calculated by Batzle-Wang formula (1992) (solid line); Xu’s method is more in line with the actual test results (2006); the gray line in the figure represents the CO injection into the reservoir 2 After the temperature dropped to 56°C, the black line represents the injection of CO into the reservoir 2 The previous formation temperature was 63°C;

[0058] figure 2 is the elastic p...

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Abstract

A method for predicting CO2 distribution from four-dimensional seismic data in CO2 geological storage, including the following steps: 1), simulating the calculation of fluid elastic parameters under different underground reservoir changing conditions; 2), establishing dry rock elastic modulus and shear modulus The relationship or formula between The CO2 injection methods are different; 6), perform environmental correction and high-precision depth-to-time conversion on the logging data. At the same time, artificially synthesized seismic records are calculated; seventh, the gradient-intercept cross plot of CO2 saturation and pressure changes is established, and the CO2 fluid identification factors that change with pressure changes and saturation are picked up; eighth, the CO2 fluid identification factors are used for In actual seismic data, identify and predict the underground distribution of CO2; solve the problem of identifying and predicting the distribution of CO2 stored underground.

Description

technical field [0001] The invention belongs to oil field flooding technology, CO 2 The technical field of geological storage, specifically related to a CO 2 4D Seismic Data CO in Geological Storage 2 Methods for distribution forecasting. Background technique [0002] A study on the use of four-dimensional (also known as time-lapse, time-lapse) seismic exploration data 2 CO during geological storage 2 Methods for distribution forecasting. How to use 4D Seismic or CO 2 Analysis of seismic monitoring acquired after injection to predict CO 2 CO during geological storage 2 distribution in the subsurface, is the detection of CO 2 The key to geological storage safety and leakage risk. Inject CO 2 Post-subsurface distribution prediction is to determine the subsurface storage of CO 2 Whether it can break through the caprock, cracks and judge the key to leakage from the high-pressure area to the outside of the storage area. while underground CO 2 distribution is also det...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/28G01V1/30
Inventor 马劲风李琳
Owner NORTHWEST UNIV
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