The next Paradise® Customer Lunch & Learn is on Tuesday, December 12th and we are proud to announce the outstanding speaker for this event:
Dr. Tom Smith, CEO/President at Geophysical Insights
The meeting is open to those interested in learning more about machine learning and its applications to interpretation. Details of the Lunch & Learn and a link to register are provided below.
Paradise® Lunch & Learn
Title: SOM Resolution Below Tuning Thickness – Is it true?
When: 12 December 2017 at 11:30AM
Where: Royal Sonesta, 2222 West Loop S, Houston, TX 77027
Room: Champions Ballroom
Summary: Is it really true that SOM offers seismic resolution below conventional limits of a quarter wavelength? Is it a lot of hokum? A number of examples have been discussed at talks and articles have been published to advance this claim. This talk addresses the evidence of the underpinnings of the technique, first with model studies and then with those factors thought to affect the success of the process, factors recently presented in a mathematical model. Finally, we will discuss issues often cited as resistance: not tied to wells, not tied to seismic around wells, not probabilistic so no risk assessment, and lastly, attribute selection anxiety.
Dr. Tom Smith received a BS and MS degree in Geology from Iowa State University. His graduate research focused on a shallow refraction investigation of the Manson astrobleme. In 1971, he joined Chevron Geophysical as a processing geophysicist but resigned in 1980 to complete his doctoral studies in 3D modeling and migration at the Seismic Acoustics Lab at the University of Houston. Upon graduation with the Ph.D. in Geophysics in 1981, he started a geophysical consulting practice and taught seminars in seismic interpretation, seismic acquisition and seismic processing. Dr. Smith founded Seismic Micro-Technology in 1984 to develop PC software to support training workshops which subsequently led to development of the KINGDOM Software Suite for integrated geoscience interpretation with world-wide success.
The Society of Exploration Geologists (SEG) recognized Dr. Smith’s work with the SEG Enterprise Award in 2000, and in 2010, the Geophysical Society of Houston (GSH) awarded him an Honorary Membership. Iowa State University (ISU) has recognized Dr. Smith throughout his career with the Distinguished Alumnus Lecturer Award in 1996, the Citation of Merit for National and International Recognition in 2002, and the highest alumni honor in 2015, the Distinguished Alumni Award. The University of Houston College of Natural Sciences and Mathematics recognized Dr. Smith with the 2017 Distinguished Alumni Award.
In 2009, Dr. Smith founded Geophysical Insights, where he leads a team of geophysicists, geologists and computer scientists in developing advanced technologies for fundamental geophysical problems. The company launched the Paradise® multi-attribute analysis software in 2013, which uses Machine Learning and pattern recognition to extract greater information from seismic data.
Dr. Smith has been a member of the SEG since 1967 and is a professional member of SEG, GSH, HGS, EAGE, SIPES, AAPG, Sigma XI, SSA and AGU. Dr. Smith served as Chairman of the SEG Foundation from 2010 to 2013. On January 25, 2016, he was recognized by the Houston Geological Society (HGS) as a geophysicist who has made significant contributions to the field of geology. He currently serves on the SEG President-Elect’s Strategy and Planning Committee and the ISU Foundation Campaign Committee for Forever True, For Iowa State.
This event is free and open to those interested in learning more about machine learning and multi-attribute analysis. For more details, see below.There are dramatic structural changes occurring in the oil & gas industry that promise to transform the country’s energy sector. Included in these changes are a focus on better tools for exploration, such as the use of machine learning as applied to multi-attribute seismic analysis. Paradise® Lunch & Learns focus on case studies by geoscience experts and demonstrations of the multi-attribute analysis technology.