Data Scientist
CurrentINNOVATION FACTORI TeamInnovation and Collaboration Solving problems and creating innovative techniques to improve operations and analysis
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Michael Lis is listed as Data Scientist | Geoscientist at SLB, based in Houston, Texas, United States. AeroLeads shows a work email signal at slb.com and a matched LinkedIn profile for Michael Lis.
Michael Lis previously worked as Data Scientist at Slb and Geoscience Intern at Slb. Michael Lis holds Master Of Science - Ms, Geological Sciences from University Of South Carolina.
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Michael is a data scientist at Houston's INNOVATION FACTORI, dedicated to helping clients harness the power of data for developing impactful solutions. Motivated by a passion for problem-solving through data liberation, he actively contributes to innovative projects aimed at optimizing operations and analysis. Michael's expertise spans across various domains, including data visualization, data pipelines, drilling, and geologic modeling utilizing deep learning and GAN development. With fluency in multiple data platforms, he excels in leveraging cutting-edge tools for effective data analysis. Holding a Master's degree in Geological Sciences, Michael possesses a strong foundation in operations, energy, and subsurface understanding.
Listed skills include Matlab, Arcgis, Microsoft Office, Customer Service, and 9 others.
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Houston, Texas, Us
INNOVATION FACTORI TeamInnovation and Collaboration Solving problems and creating innovative techniques to improve operations and analysis
Houston, Texas, Us
Schlumberger Doll Research Center, Cambridge MAAutomated Geology GroupGeologic Modeling with deep learning and GAN development
Columbia, Sc, Us
AAPG IBA 2018 3rd Place, South Eastern Section, Team Captain | SEG President 2018 - 2019 | SEOE Graduate Student Organization Alumni Public Relations Committee | Graduate School Association Secretary for Alumni Relations 2018-2019 | University of South Carolina Rowing Club, Assistant Coach | Teaching Assistant for three lab sections of 70 students and Sub-Lecturer for 300 studentsResearch Interests: Energy, seismic interpretation, sedimentology, deltaic systems, sequence stratigraphy, paleoclimate/paleoceanography, sea-level change, proxy system modeling, stable isotopes, geochemistry, ocean circulation, tropical climate change.
The Woodlands, Tx, Us
• Regional mapping of distinctive XRF facies and elemental assemblages were used to describe intervals in the Wolfcamp to reduce the ambiguity of subsurface characterization to understand variability in production• Field-scale chemostratigraphic characterization of the Wolfcamp (Delaware Basin) using XRF from core/cuttings• Created and trained a random forest machine learning model to accurately predict chemostratigraphic facies in quad-combo wireline longs for over 1300 wells• Performed well log analysis and stratigraphic correlations throughout the Delaware Basin• Unsupervised learning was used to analyze trace elements that correlate geochemical TOC rich rock packages• Characterized depositional settings from XRF in core and cuttings data in core• Back steered 15 legacy wells and applied quad-combo log curves to lateral XRF data• Utilized XRF facies to improve core descriptions and core sedimentological sequences from Wolfcamp Fm core• Recommended the value proposition of an additional XRF cuttings program to exploration and development
Madrid, Madrid, Es
Data Scientist Knime Analytics integration with Python and R for the next level of digitization for the future of E&P• Assisted a team of petreotechnical advisors working to develop more efficient techniques to digitizes and integrate historical data from Mexico bidding blocks • Developed a proof of concept to mine data from hundreds of well logs (.tif, .las, .pdf, .png, .lis, etc) for geophysical and geochemical properties from new venture data to save time• Used Knime analytics to capture key text information from petroleum basin analysis .pdf’s categorize documents with decision trees and frequency analysis• Extracted well block curves from .las to create basis for lithology classification. • Integrated Knime and R to for principal component analysis (PCA) and hierarchy cluster (HCA) dendrograms were applied to biostratigraphy data to identify patterns in stratigraphic sequence tracts MSF, TST, HST in Alaska• PCA and HCA were used to interpret the geochemistry of oil from Caribbean basins for depositional lacustrine, carbonate, and siliciclastic environments. • Machine learning and neural networks (Python Tensorflow, R) were used to develop new methods of interpreting data
Tulsa, Ok, Us
3rd Place Finalist in the Easter Section Competition. 3D seismic analysis of the Cooper Basin Austrailia • Awarded 3rd Place at the Eastern Section in Pittsburg, PA• Utilized Petrel to interpret 3D seismic data and well logs within the Cooper Basin. Correlated formation tops, converted volume to depth with seismic-well ties, selected key horizons, created surfaces and isopachs, analyzed seismic attributes• Attributes maps for variance, RMS, spectral decomposition, and AVO interpret the stratigraphic petroleum system. • Calculated GIIP volumetric and risks for 4 prospects.
Austin, Texas, Us
- Grew coverage across all markets for SAAS applications: ERP/EPM, HCM, CX - Mentored several new hires through training programs presenting projects and problems - Worked with a team of multiple individuals remotely and on sight- Evaluated problems with target accounts, which were utilized to reach quarterly attainment quickly and meet early deadlines- Executed leadership communication throughout the team and with clients on priority objectives
Armonk, New York, Ny, Us
- Incorporating geologic exploration expressions and geosciences background into IBM’s AI Watson database. - Data mining and refining published research from USGS- Collaborating and communication skills are being utilized by working remotely with multiple individuals across the country for cognitive computer learning
- Managed over 50 investor files that were placed into hold for reassignment- Revised authority of expenditure templates and created new accounts ledgers- Balanced minority interest mineral ownership for the charts accounts and accounting solutions- Improved relationship between RCS and Delta Oil through extend site visits
- Mapped out 10 new possible Antrim Shale wells for economic evaluations with geological surveys- Navigated and flagged 4 new flow line routes to improve gas flow efficiency- Organized oil & gas leases for multiple state-owned and private minerals- Reviewed saltwater storage facilities and tested soil and groundwater for contamination of brine- Formatted and submitted permit for saltwater disposal wells and dump pits for natural gas leases and compression facilities
• Conducted research involving shale rock retrieved from a well in the Barnett Shale region• Utilized gas chromatography instrument to analyze organic compounds that vaporized off the shale in a liquid solution • Presented project findings to 50 peers
Burnet, Texas, Us
• Gained Leadership and organizational skills to manage a large groups of kids• Supervised over a 400 kids from two separate sessions in leadership activities, outdoors, and watersports• Enforced good safety practices to insure the safety of camp attendants
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Michael Lis works for SLB.
Michael Lis is listed as Data Scientist | Geoscientist at SLB.
AeroLeads has found 1 work email signal at @slb.com for Michael Lis at SLB.
Michael Lis is based in Houston, Texas, United States while working with SLB.
Michael Lis has worked for Slb, University Of South Carolina, Anadarko Petroleum Corporation, Repsol, and Aapg Education.
You can use AeroLeads to view verified contact signals for Michael Lis at SLB, including work email, phone, and LinkedIn data when available.
Michael Lis holds Master Of Science - Ms, Geological Sciences from University Of South Carolina.
Michael Lis is listed with skills including Matlab, Arcgis, Microsoft Office, Customer Service, Leadership, Management, Powerpoint, and Public Speaking.
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