2018 SEG 通过人工智能与机器学习实现资产价值最大化研讨会

2018 SEG通过人工智能与机器学习实现资产价值最大化研讨会

日期:2018年9月17日-19日

地点:中国 北京地大国际会议中心(中国地质大学)

会议背景与简介

本次会议组委会诚挚邀请您莅临中国地质大学(北京)国际会议中心,来展示与共同探讨近二十年以来在实施人工智能(AI)和机器学习(ML)石油和天然气数字化转型过程中产生的新想法、新方案。当前,在商品价格低的环境下,提高效率,降低成本,实现资产价值最大化已成为许多石油天然气公司的首要任务。通过收集大量信息并将这些信息转化为可行的方案,AI和ML为行业的勘探和开发(E&P)生命周期带来了新的机遇和商业模式。本次研讨会将着重探索在勘探和开发(E&P)业务中运用AI和ML的挑战、机遇和趋势。来自石油天然气和科技公司的专家以及来自大学和科研机构的研究人员将聚集一堂,就E&P业务中应用AI和ML的新方案进行交流。案例研究和小组讨论将有助于参与者建立新的行业基准。我们期待您的参与。

本次研讨会由SEG主办、哈里伯顿(Halliburton)协办,将于2018年9月17日-19日在北京举行。研讨会现已开始围绕人工智能/AI与机器学习/ML在以下专题方面进行讨论:

1.在地球物理和地球科学中的应用

2.在油藏描述和动态预测中的应用

3.在钻井和完井中的应用

4.在动态监测和生产优化中的应用

5.行业期望和未来趋势

会议安排概要

Workshop Venue

会场地址

地大国际会议中心,中国地质大学(北京)

地址:北京市海淀区学院路29号

Meeting Schedule

会议日程

(向上滑动查看内容)

Monday, 17 September 2018

13:00-18:00......Onsite Registration

16:00-16:30......Session Chair Meeting

Tuesday, 18 September2018

07:30-17:00......OnsiteRegistration

08:25-08:30......Call theworkshop to order (Workshop Introduction) by Dr. Youli Mao, Halliburton

Session I: Welcome, Introduction, Keynote Address andApplications

Chairs: Jackson Bi, Youli Mao

08:30-08:55......Keynote 1: TheUnconventional Revolution in Exploration Geophysics: Is Machine Learning theAnswer?(Nancy House, SEG)

08:55-09:20......Keynote 2:AI and ML – Will thesetechnologies revolutionize the Oil and Gas Industry?(Maurice Nessim, WesternGeco)

09:20-09:45......Keynote 3:DemystifyingE&P Big Data: Challenges, Opportunities, and Path forward(SatyamPriyadarshy, Halliburton)

09:45-10:05......Training anInverse Operator on Shingling Seismic Data based on cGANs(Yanwen Wei∗, Mengyao Sunand Haohuan Fu, Tsinghua University)

10:05-10:50......Group Photo,Coffee break

10:50-11:10......ConvolutionalSparse Coding for Noise Attenuation of Seismic Data(ZhaolunLiu∗, Kai Lu andXiaodan Ge, King Abdullah University of Science and Technology)

11:10-11:30......Auto-windowedSuper-virtual Interferometry via Machine Learning: A Strategy of First-arrivalTraveltime Automatic Picking for Noisy Seismic Data(KaiLu* and Shihang Feng King Abdullah University of Science and Technology)

11:30-11:50......Seismicfrequency expansion based on recurrent neural network(YantingDuan*, Institute of Oil & Gas, Peking University, Beijing, China. XiaodongZheng and Lianlian Hu, Research Institute of Petroleum Exploration &Development, PetroChina, Beijing, China)

11:50-12:10......U-net convolutionalnetworks for first arrival picking(Lianlian Hu*,Xiaodong Zheng Research Institute of Petroleum Exploration & Development,PetroChina, Beijing, China Yanting Duan Institute of Oil & Gas, PekingUniversity, Beijing, China)

12:10-13:30......Lunch

Session II: Seismic Data Processing and Interpretation

Chairs:Satyam Priyadarshy, Maurice Nessim

13:30-13:55......Keynote 4: Machine Learning and the Interpretation Process: What is the EndGame?(Michael Dunn, Geophysical Insights)

13:55-14:20......Keynote 5: Automatic Processing and Intelligent Interpretation of SeismicExploration Based on Deep Learning)(Gaishan Zhao, Sinopec Geophysical Research Institute)

14:20-14:40......Seismictrace editing through semi-supervised machine learning(Lei Fu*, Rice University; Jianxiong Chen, formerly Rice University,currently Anadarko Petroleum Corporation; Jianping Huang, China University ofPetroleum)

14:40-15:00......Separationof Multi-mode Surface Waves by Supervised Machine Learning Methods(Jing Li∗, Yuqing Chen∗, and Gerard T. Schuster∗∗King AbdullahUniversity of Science and Technology, Thuwal, Saudi Arabia, 23955-6900)

15:00-15:20......Deep NeuralNetworks Constrained Mean shift clustering Velocity Semblance Auto-Picking(Wei Song*, Yue Niu, State Key Laboratory ofPetroleum Resources and Prospecting, CNPC Key Lab of Geophysical Exploration,China University of Petroleum-Beijing, Yong-Lin Ouyang, Qing-Cai Zeng Jia-QiHuang & Ya-ying Song, RIPED LangFang Branch,CNPC)

15:20-15:50......Coffee break& Poster Session

15:50-16:10......Technology Showcase 1 (NVIDIA)

16:10-16:30......SeparatingGround-roll from Land Seismic Record via Convolutional Neural Network(ZhuangJia1*, WenkaiLu1,MengZhang2, YongkangMiao2,1TsinghuaUniversity,Beijing,P.R.China 2Shengli Oilfield Geophysical Research Instituteof Sinopec,Dongying,Shandong,P.R.China)

16:30-16:50......UnsupervisedMachine Learning First Break Auto-Picking With Mean Shift Clustering(Wei Song*,Yue Niu,State Key Laboratory ofPetroleum Resources and Prospecting, CNPC Key Lab of Geophysical Exploration,China University of Petroleum-Beijing Yong-Lin Ouyang, Qing-Cai Zeng Jia-QiHuang & Ya-ying Song, RIPED LangFang Branch, CNPC)

16:50-17:10......Applicationof deep learning in first break picking of seismic data(Yitao Pu*, Xueli Zhang, Bureau of GeophysicalProspecting, CNPC)

Wednesday, 19 September 2018

08:00-17:00......OnsiteRegistration

Session III: Reservoir Characterization

Chairs: Ligang Lu, Xuri Huang

08:30-08:55......Keynote 6: Deposition pattern identification: from template match to machinelearning(Xuri Huang,Sunrise Petrosolutions Tech)

08:55-09:20......Keynote 7: Data-driven nonlinear intelligent seismic reservoir prediction andits application(Xiaodong Zheng, Research Institute of Petroleum Exploration andDevelopment, CNPC)

09:20-09:40......HybridStrategy for Porosity Distribution Mapping on a Heterogeneous Reservoir UsingArtificial Intelligence Method(AminShahbazi*, Asia Pacific University of Technology & Innovation, Malaysia.Mehrdad Soleimani Monfared, Shahrood University of technology, Iran MahmoodBathaee, Asia Pacific University of Technology & Innovation, MalaysiaVinesh Thiruchelvam, Asia Pacific University of Technology & Innovation,Malaysia)

09:40-10:00......Combiningunsupervised learning and semi-supervised learning with a small sampleintegrated deep learning model to predict total organic carbon deep learningmodel to predict total organic carbon(Linqi Zhu*,Chaomo Zhang, Zhansong Zhang, Chong Zhang, Xin Nie, Xueqing Zhou,Weinan Liu, Yangtze University, China)

10:00-10:30......Coffee break& Poster Session

10:30-10:50......MachineLearning Approach to open hole interpretation and static modelling applied to agiant field(A.R. Ismagilov, V.A. Sudakov*,T.A. Murtazin. Kazan Federal University)

10:50-11:10......Reservoirclassification with multi well log parameters based on deep learning technology(Peng An*, Danping Cao, School of Geosciences,China University of Petroleum (East China))

10:00-10:30......Coffee break& Poster Session

11:10-11:30......Cross-WellLithology Classification based on Domain Adaptive Neural Networks(Cao Zhimin1,2*, Chen Shumin3,Mu Haiwei1, Han Jian1, Zhao Haibo3, Li Kuizhou3,Wang Zhentao11.School of Electronic Science, North-East PetroleumUniversity, Daqing, Heilongjiang, China; 2.Post-Doctoral Work Station, DaqingOil Field, Daqing, Heilongjiang, China; 3.Research Institute of Exploration& Development of Daqing Oilfield, Daqing, Heilongjiang, China.)

11:30-11:50......TheApplication of Machine Learning On Heterolithics Identification in BruneiDarussalam(NurAishah Helena Mohd Sharif*1, Chunming Xu1, Yee Yung Liew1,Amir Sabli1, Idrus Puasa1, Lisa Thieme1, TomSavels1, Leytzher Muro1.1Brunei Shell Petroleum SendirianBerhad, Jalan Utara, Panaga, Seria KB2933. Negara Brunei Darussalam.)

11:50-13:30......Lunch

Session IV: Drilling, Completion and Production

Chairs:MichaelDunn, Guoqing Han

13:30-13:55......Keynote 8: Prediction of liquid loading for entire well deviation viaMachine Learning(Guoqing Han,China Petroleum University)

13:55-14:20......Keynote 9:Title to be confirmed(WuyangYang, Northwest Branch of Exploration and Development Institute, CNPC)

14:20-14:40......MachineLearning for Key Completion Controls on Shale Oil Production(Ligang Lu, Peng Zhou, Huiyan Sang. Shell Exploration andProduction Company, Houston TX, US)

14:40-15:00......Study onPrediction of ROP Based on Random Forest(JialiangZhang12*, Shouding Li1, Dong Chen2, GuanfangLi1, Zhihui Ye2, 1.Key Laboratory of Shale Gas andGeoengineering, Institute of Geology and Geophysics, Chinese Academy ofSciences, Beijing, 100029, China; 2.China University ofPetroleum-Beijing(CUPB), Petroleum Engineering institute, Beijing, 102249,China))

15:00-15:20......Coffee break& Poster Session

15:20-15:40......Clusteringtechniques in analysis of production data(GlebShishaev*(Tomsk Polytechnic University), Vasily Demyanov (Heriot-WattUniversity), Iskander Baykov (Gazpromneft Science & Technology Centre))

15:40-16:00......Onlinedictionary learning seismic weak signal denoising method under modelconstraints(Qin Lei1,Rao Huang2, Yong Li1, Yunfei Ye2, Yubang Zhou1,Cong Niu2.1 School ofGeophysics, Chengdu University of Technology, Chengdu 610059, China.2 CNOOC Research Institute, Beijing, 100027, China)

16:00-16:20......GenerativeAdversarial Networks for Seismic Data Interpolation(Dekuan Chang, Wuyang Yang, Xueshan Yong, Haishan Li, ResearchInstitute of Petroleum Exploration & Development-Northwest, PetroChina)

16:20-16:40......AutomaticSemblance Picking by a Bottom-up Clustering Method(Yuqing Chen11 King Abdullah University of Science andTechnology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia)

16:40-17:00......ExtendedCaianiello neural networks with advanced optimization for reservoircharacterization(Cyril D. Boateng1,2*, Li-Yun Fu1, 1Key Laboratoryof Petroleum Resource Research, Institute of Geology and Geophysics, Beijing100029, China. 2University of Chinese Academy of Sciences, Beijing 100049,China)

17:00-17:10......Workshopconclusion (Alfred Liao, SEG China Chair)

Poster Session

Chairs:GaishanZhao, TBN

P01Shalecontent prediction based on LSTM recurrent neural network(Peng An*, Danping Cao, School of Geosciences,China University of Petroleum (East China))

P02The Effect of DataProportioning in an ANN Analysis of Fracture Porosity for a Fractured GraniteReservoir (FGB) in the Cuu Long basin, Vietnam(Pham Huy Giao*,Kushan Sandunil and Pham Hong Trang, Geosystem Exploration and PetroleumGeoengineering Program, Asian Institute of Technology, Bangkok, Thailand.*Corresponding email: hgiao@ait.asia)

P03A high-accuracy topographicKirchhoff beam migration(Hui Sun, Zhihou Zhang, Jiabin Li, Meng Li,Longlong Xia, Rui Deng, Shigui Zou, Faculty of Geosciences and EnvironmentalEngineering, Southwest Jiaotong University; Fanchang Meng*, Institute of Geologyand Geophysics, The Chinese Academy of Sciences)

P04Coalbed MethaneProductivity Prediction with LSTM Neural Network(XIE Qingming*,CHENG Lijun, LIU Hong, ZHANG Ye, DENG Zhi, WU Guodai (Chongqing Institute ofGeology and Mineral Resources,KeyLaboratory of Shale Gas Exploration, Ministry of Land and Resources;Chongqing Engineering Research Centre forShale Gas Resource & Exploration; Chongqing Shale Gas Research Centre ofState Key Laboratory of PetroleumResource and Prospecting)

P05Shear wave VelocityPrediction based on Machine Learning(Jun-Yu Bai, Wei-HuaLiu,Sinopec Geophysical Research Institute)

P06Unsupervised learningtechnique reveals hydrocarbon potential zone on the Penobscot(KhureltulgaBorgilchuluun*, Danping Cao and Xingyao Yin China University of Petroleum,Qingdao, Shandong, China)

P07Applications in geophysicsand geoscience_Foundation Assessment Using Integrated Engineering GeophysicalTechniques for Gas Pipeline Route from Khartoum to Shendi, Sudan(Mohammed Adam Haroon)

P08Thecorrection of dual induction resistivity logging for different formation dipangles(Wei Li*, Jun Zhao, Feifei Wang, School ofGeoscience and Technology, Southwest Petroleum University, Chengdu, Sichuan610500, China)

P09Automatic First BreakPicking and Refining of Bad Picks: Median Filter Approach(Akshay Vishwakarma, Oil and Natural Gas Corporation Limited, India)

P10Recall Factor in Reservoir Analogues IdentificationProblem(Gleb Shishaev* (Tomsk Polytechnic University), StanislavSlivkin (Tomsk Polytechnic University))

P11Permeability Prediction from ElasticProperties using Probability Neural Network in Offshore Field, Sabah-Malaysia(Maman Hermana*, Nur Farinie Mohd Fadzly, Chow WengSum and Deva P Ghosh Geosciences Department Universiti Teknologi PETRONAS)

P12Automatic fault detectionbased on the unsupervised seismic attributes clustering(SiyuanLiu, Danping Cao, Peng An, School of Geosciences, China University of Petroleum(East China), Xiaoli Yang, Ming Zhang, PetroChina Jidong Oilfield Company)

P13SeismicSignal Reconstruction and Noise Attenuation Based on Learning-Type Dictionaryand Orthogonal Matching Pursuit(Hao Mai*, Siyuan Cao, College of Geophysics and InformationEngineering, China University of Petroleum (Beijing), Beijing 102249,China)

P14A saturation evaluationmethod in tight gas sandstones based on diagentic facies(ZHOUXueqing1,2, ZHANG Zhansong1,2, ZHANG Chong1,2*,NIE Xin1,2, ZHANG Chaomo1,2, ZHU Linqi1,21.KeyLaboratory of Exploration Technologies for Oil and Gas Resources (YangtzeUniversity), Ministry of Education, Wuhan, Hubei 430100,China; 2.Hubei CooperativeInnovation Center of Unconventional Oil and Gas (YangtzeUniversity),Wuhan,Hubei430100,China *The corresponding author)

P15Multi-scale convolutionalneural network eliminates random noise of pre-stack seismic data(XiaoJiwen*, Qian Rongyi, Ma Zhenning, Shang Ke Chian University of Geosciences,Beijing)

Workshop Format

活动形式

此次会议录用的论文将分为口头报告或张贴报告进行展示;同时设有赞助环节;

会议每个技术会场都会选出最佳文章或最佳PPT,会议闭幕式将设立颁发证书仪式。

Technical Committee

技术委员会

Technical Co-chairs/技术主席

Satyam Priyadarshy,Halliburton

Zhuoxin Bi,Anadarko Petroleum Corporation

Youming Li,Institute of Geology and Geophysics, CAS

Youli Mao,Halliburton

Technical Committee Member/技术委员

Ashwani Dev,Halliburton

Kainan Wang,Sanchez Oil & Gas

Alfred Liaw,SEG China

Registration Fee

注册费用

提前注册正在火热进行中!鼓励提前注册,并享有优惠注册价格。提前注册截止日期为2018年8月17日。

Recommended Hotel

住宿推荐

地大国际会议中心

住宿价格(商务大床&商务双床)

RMB 580元/晚(含早)

晚餐可在酒店餐厅或酒店周边自行点餐;

参会代表可联系SEG中国办公室登记预定信息;

会议期间为住宿预订高峰期,请代表提前预定,并注明"2018 SEG AI & ML研讨会订房" 。

备注:

Contact Information

联系方式

关于此次会议更多详细信息及相关问题请联系SEG中国办公室

2018 SEG Maximizing Asset Value Through Artificial Intelligence And Machine Learning

DATE: 17-19 September 2018

VENUE: Geosciences International Conference Center, Beijing, China

  • 发表于:
  • 原文链接https://kuaibao.qq.com/s/20180824G0P7UF00?refer=cp_1026
  • 腾讯「腾讯云开发者社区」是腾讯内容开放平台帐号(企鹅号)传播渠道之一,根据《腾讯内容开放平台服务协议》转载发布内容。
  • 如有侵权,请联系 cloudcommunity@tencent.com 删除。

扫码关注腾讯云开发者

领取腾讯云代金券