SK Innovation had two patents in artificial intelligence during Q2 2024. SK Innovation Co Ltd has developed a machine learning-based two-step impedance inversion method using seismic data. This technique involves generating a domain adaptation model to predict P-impedance values in target areas without wells, allowing for accurate predictions even in areas without existing wells. GlobalData’s report on SK Innovation gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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SK Innovation had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Machine learning-based two-step impedance inversion method and apparatus using seismic data (Patent ID: US20240192394A1)
The patent filed by SK Innovation Co Ltd. discloses a machine learning-based two-step impedance inversion method using seismic data. The method involves generating a domain adaptation model to predict P-impedance values of a target area without a well based on source data from an area with a well. Subsequently, a P-impedance low frequency model is generated using the predicted P-impedance value to accurately predict the final P-impedance value of the target area through inversion. This technique enables precise prediction of P-impedance values in areas lacking wells.
The patent further details the process of generating the domain adaptation model and the P-impedance low frequency model, involving feature extraction, loss function evaluation, and retraining algorithms. Additionally, the method includes preprocessing operations such as smoothing and filtering to enhance the accuracy of predicting final P-impedance values. The apparatus described in the patent consists of modules for training, preprocessing, and inversion, each designed to facilitate the generation of accurate P-impedance values for target areas without wells. Overall, the disclosed method and apparatus offer a comprehensive approach to impedance inversion using machine learning techniques, ensuring precise predictions in areas where well data is unavailable.
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