Patents by Inventor Hee-Jeong Jang
Hee-Jeong Jang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240241286Abstract: Disclosed are a method and apparatus for estimating lithofacies by learning well logs. The method includes a model formation step of forming lithofacies estimation model to output lithofacies corresponding to measured depth when the well logs are input based on train data sets including train data having values of multiple factors included in the well logs, the values being arranged corresponding to measured depth, and label data having lithofacies corresponding to measured depth as answers, and lithofacies estimation step of inputting unseen data having values of multiple factors included in well logs acquired from a well at which lithofacies are to be estimated, the values being arranged corresponding to measured depth, to the lithofacies estimation model to estimate lithofacies corresponding to measured depth.Type: ApplicationFiled: January 22, 2024Publication date: July 18, 2024Applicants: SK INNOVATION CO., LTD., SK EARTHON CO., LTD.Inventors: Seungjoon CHA, Hee Jeong JANG, Youngki CHOI, Kyoung Jin LEE, Man Cheol KIM
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Patent number: 12019195Abstract: Disclosed are a method and apparatus for estimating S-wave velocities by learning well logs, whereby the method includes a model formation step of forming an S-wave estimation model to output S-wave velocities corresponding to measured depth when the well logs are input based on train data sets including train data having values of multiple factors included in the well logs, the values being arranged corresponding to measured depth, and label data having S-wave velocities corresponding to measured depth as answers, and an S-wave velocity estimation step of inputting unseen data having values of multiple factors included in well logs acquired from a well at which S-wave velocities are to be estimated, the values being arranged corresponding to measured depth, to the S-wave estimation model to estimate S-wave velocities corresponding to measured depth.Type: GrantFiled: July 13, 2023Date of Patent: June 25, 2024Assignees: SK INNOVATION CO., LTD., SK EARTHON CO., LTD.Inventors: Seungjoon Cha, Youngki Choi, Hee Jeong Jang, Kyoung Jin Lee, Hyunjong Cho
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Publication number: 20230358908Abstract: Disclosed are a method and apparatus for estimating S-wave velocities by learning well logs, whereby the method includes a model formation step of forming an S-wave estimation model to output S-wave velocities corresponding to measured depth when the well logs are input based on train data sets including train data having values of multiple factors included in the well logs, the values being arranged corresponding to measured depth, and label data having S-wave velocities corresponding to measured depth as answers, and an S-wave velocity estimation step of inputting unseen data having values of multiple factors included in well logs acquired from a well at which S-wave velocities are to be estimated, the values being arranged corresponding to measured depth, to the S-wave estimation model to estimate S-wave velocities corresponding to measured depth.Type: ApplicationFiled: July 13, 2023Publication date: November 9, 2023Applicants: SK INNOVATION CO., LTD., SK EARTHON CO., LTD.Inventors: Seungjoon CHA, Youngki CHOI, Hee Jeong JANG, Kyoung Jin LEE, Hyunjong CHO
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Patent number: 11796698Abstract: Disclosed are a method and apparatus for estimating S-wave velocities by learning well logs, whereby the method includes a model formation step of forming an S-wave estimation model to output S-wave velocities corresponding to measured depth when the well logs are input based on train data sets including train data having values of multiple factors included in the well logs, the values being arranged corresponding to measured depth, and label data having S-wave velocities corresponding to measured depth as answers, and an S-wave velocity estimation step of inputting unseen data having values of multiple factors included in well logs acquired from a well at which S-wave velocities are to be estimated, the values being arranged corresponding to measured depth, to the S-wave estimation model to estimate S-wave velocities corresponding to measured depth.Type: GrantFiled: July 15, 2022Date of Patent: October 24, 2023Inventors: Seungjoon Cha, Youngki Choi, Hee Jeong Jang, Kyoung Jin Lee, Hyunjong Cho
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Publication number: 20220365235Abstract: Disclosed are a method and apparatus for estimating S-wave velocities by learning well logs, whereby the method includes a model formation step of forming an S-wave estimation model to output S-wave velocities corresponding to measured depth when the well logs are input based on train data sets including train data having values of multiple factors included in the well logs, the values being arranged corresponding to measured depth, and label data having S-wave velocities corresponding to measured depth as answers, and an S-wave velocity estimation step of inputting unseen data having values of multiple factors included in well logs acquired from a well at which S-wave velocities are to be estimated, the values being arranged corresponding to measured depth, to the S-wave estimation model to estimate S-wave velocities corresponding to measured depth.Type: ApplicationFiled: July 15, 2022Publication date: November 17, 2022Applicants: SK INNOVATION CO., LTD., SK EARTHON CO., LTD.Inventors: Seungjoon CHA, Youngki CHOI, Hee Jeong JANG, Kyoung Jin LEE, Hyunjong CHO
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Patent number: 11422276Abstract: Disclosed are a method and apparatus for estimating S-wave velocities by learning well logs, whereby the method includes a model formation step of forming an S-wave estimation model to output S-wave velocities corresponding to measured depth when the well logs are input based on train data sets including train data having values of multiple factors included in the well logs, the values being arranged corresponding to measured depth, and label data having S-wave velocities corresponding to measured depth as answers, and an S-wave velocity estimation step of inputting unseen data having values of multiple factors included in well logs acquired from a well at which S-wave velocities are to be estimated, the values being arranged corresponding to measured depth, to the S-wave estimation model to estimate S-wave velocities corresponding to measured depth.Type: GrantFiled: February 1, 2021Date of Patent: August 23, 2022Inventors: Seungjoon Cha, Youngki Choi, Hee Jeong Jang, Kyoung Jin Lee, Hyunjong Cho
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Publication number: 20210381362Abstract: Disclosed are a method and apparatus for estimating lithofacies by learning well logs. The method includes a model formation step of forming lithofacies estimation model to output lithofacies corresponding to measured depth when the well logs are input based on train data sets including train data having values of multiple factors included in the well logs, the values being arranged corresponding to measured depth, and label data having lithofacies corresponding to measured depth as answers, and lithofacies estimation step of inputting unseen data having values of multiple factors included in well logs acquired from a well at which lithofacies are to be estimated, the values being arranged corresponding to measured depth, to the lithofacies estimation model to estimate lithofacies corresponding to measured depth.Type: ApplicationFiled: April 1, 2021Publication date: December 9, 2021Applicant: SK INNOVATION CO., LTD.Inventors: Seungjoon CHA, Hee Jeong JANG, Youngki CHOI, Kyoung Jin LEE, Man Cheol KIM
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Publication number: 20210382191Abstract: Disclosed are a method and apparatus for estimating S-wave velocities by learning well logs, whereby the method includes a model formation step of forming an S-wave estimation model to output S-wave velocities corresponding to measured depth when the well logs are input based on train data sets including train data having values of multiple factors included in the well logs, the values being arranged corresponding to measured depth, and label data having S-wave velocities corresponding to measured depth as answers, and an S-wave velocity estimation step of inputting unseen data having values of multiple factors included in well logs acquired from a well at which S-wave velocities are to be estimated, the values being arranged corresponding to measured depth, to the S-wave estimation model to estimate S-wave velocities corresponding to measured depth.Type: ApplicationFiled: February 1, 2021Publication date: December 9, 2021Applicant: SK INNOVATION CO., LTD.Inventors: Seungjoon CHA, Youngki CHOI, Hee Jeong JANG, Kyoung Jin LEE, Hyunjong CHO
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Patent number: 7671039Abstract: The present invention relates to a composition containing beta-glucan as an effective ingredient for prevention and treatment of osteoporosis. The above captioned beta-glucan is preferably the beta-1.3/1.6 glucan having a lactic acid as a substituent and this beta-1.3/1.6 glucan is preferably produced from Aureobasidium pullulans SM2001(KCCM 10307).Type: GrantFiled: October 28, 2004Date of Patent: March 2, 2010Assignee: Glucan CorporationInventors: Hyun-Dong Shin, Mi-Kyung Son, Bok-Ryun Park, Chang-Woo Son, Hee-Jeong Jang
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Publication number: 20070117777Abstract: The present invention relates to a composition containing beta-glucan as an effective ingredient for prevention and treatment of osteoporosis. The above captioned beta-glucan is preferably the beta-1.3/1.6 glucan having a lactic acid as a substituent and this beta-1.3/1.6 glucan is preferably produced from Auerobasidium pullulans SM2001(KCCM 10307).Type: ApplicationFiled: October 28, 2004Publication date: May 24, 2007Inventors: Hyun-Dong Shin, Mi-Kyung Son, Bok-Ryun Park, Chang-Woo Son, Hee-Jeong Jang