油藏岩石物理中人工智能技术应用的优点和危机报告人: Steve Cuddy, 贝克休斯 报告人简介: Steve Cuddy 现在是贝克休斯公司主任油藏岩石物理学家。他博士毕业于英国亚伯丁大学油藏岩石物理学专业,具有物理学本科和天体物理本科背景。他是Fractal FOIL 公式的发明人,该公式阐述了油藏模型中的流体分布规律。他有45年的工业界经验,并开发了系列AI软件。20
2020-08-31 administrator 409
Potential & challenges of applying artificial intelligence & machine-learning methods for geoscience SEG 2020 Distinguished LecturerFormat: Virtual Webinar. 45 min. presentation followed
2020-08-10 administrator 225
CALL FOR ABSTRACTSSPWLA 62nd Annual Logging SymposiumBoston, USA • May 15-19, 2021The SPWLA Board of Directors invites you to join us in Boston, May 15-19, 2021 to showcase your ca
2020-08-06 administrator 218
SPWLA 2019-20 Distinguished / REGIONAL TECHNICAL PRESENTATION主题:LOC... EASY AS 1,2,3!报告人:Martin Storey, Well Data Quality Assurance,Asia Pacific报告摘要:LQC... All would agree that bad data should not be
2020-06-26 administrator 392
SPWLA 2020AWARDS ANNOUNCEMENTEach year atthe SPWLA Annual Symposium individuals are honored and rewarded for theiroutstanding achievements and contributions to the Society and the in
2020-05-23 administrator 763
问题描述受资金或操作方面的限制,并不是每口油井都会测量纵波慢度(DTC)和横波慢度(DTS)。此种情况下,可以运用机器学习技术来对DTC和DTS测井曲线进行预测,从而改善地下特性描述。首届岩石物理数据驱动分析竞赛的目标为:通过处理一号井中易于获取的常规测井数据,建立数据驱动模型,并利用数据驱动模型生成二号井中的DTC和DTS合成测井数据。用于合成期望的声学数据的稳健的数据驱动模型可以得到较小的预测
2020-04-20 administrator 775
SPWLA的近期活动介绍,请点击:https://www.spwla.org/Documents/Newsletter/SPWLA_Today_Newsletter_Vol3_No2.pdf
2020-03-12 administrator 181