The problem of inverting time-lapse data is fairly well researched in other geophysical methods.
(2011) have compared the various techniques used for inverting electrical resistivity tomography (ERT) time-lapse data.
With the widespread use of time-lapse data to understand cellular function, there is a need for tools which facilitate high-throughput analysis of data.
The duration of this time-lapse data acquisition is 10 months, the working footage positions corresponding to data acquisition time are shown in Fig. 1.
Even though the increase is saturated very fast, we can consider the saturated and instantaneous voltages as a time-lapse data set.
We used temporal moment analysis of pixels generated from inversion of electrical resistivity data to compress time-lapse data into descriptive statistics (mean arrival time, temporal variance, and temporal skewness) for each pixel.
In time-lapse data, they did the AVO inversion for both baselines and monitor survey data to obtain simultaneously elastic properties such as P-wave, S-wave, velocities, and density along with the uncertainties.
It has been shown in other geophysical techniques that the most effective way to model time-lapse data is with simultaneous inversion, which uses information from all time-steps to produce models with higher accuracy and fewer artefacts.
In this study, we advance the understanding of three-dimensional (3-D) electrical resistivity tomography (ERT) for monitoring long-term CO2 storage by analyzing two previously published field time-lapse data sets.
The main contribution of this work is to show that it is possible to use available knowledge from flow simulation and reservoir characterization to constrain time-lapse data and extract from it more reliable information.
To observe data discrepancies resulted from coal mining activities, the time-lapse data acquisition requires data acquired in different time periods must have repeatability and the non-repetitive part should be variations resulted from mining, therefore, acquisition environment, acquisition equipment and parameters must be ensured to be repetitive when acquisition is being carried out.
