Top Tweets for #ReservoirExperts
Our #ReservoirExperts will share the secrets of facies-inversion workflows at this virtual workshop discussion about Quantitative Interpretation - where it's been successful, where it has struggled and where it may be headed. https://t.co/OAhu9tDyuq
Join us for our Unconventional Webinar Week with presentations focused on case studies and solutions to optimize unconventional reservoirs. Hear from our #ReservoirExperts and take advantage of live Q&A. Register now for one or more of the below webinars! https://t.co/WbXqgXFZVh
At the First @EAGE_Global Digital Subsurface Conference in Latin America, we share our experience of using the cloud for geostatistical inversion and geophysical processes. https://t.co/CIbuxlSLt6 #CGGdigitalization #ReservoirExperts
Find out how to use #machinelearning for predicting stochastic fluid and mineral volumes in complex unconventional reservoirs in our latest @WorldOil article. https://t.co/dPr16iPOaY
#ReservoirExperts #CGGdigitalization
Would you like to extract as much information from your seismic data as cost effectively as possible? Attend our Data Conditioning for Enhanced Reservoir Characterization virtual training to find out more from our #ReservoirExperts. Pricing and details at https://t.co/iXob7IGNlW
Catch our latest developlments in hybrid deep #machinelearning inversion at Digex 2021! #ReservoirExperts #CGGdigitalization https://t.co/Pol7sNgIxN
Take an in-depth look at Machine Learning and Geophysical Inversion with @GSHTX and Brian Russell on February 10th. More info and sign up at https://t.co/zHnBoUxewk #ReservoirExperts #CGGdigitalization
Read our latest E&P Plus article to learn how our new InsightEarth WellPath software integrates engineering planning with geoscience data for optimal well path designs.
Download the PDF https://t.co/n216s8mqeh or visit @hartenergy https://t.co/Ww3BEl9bvQ #ReservoirExperts
We're proud sponsors of the first @EAGE_Global conference on seismic inversion. Our online presentations consider related aspects such as anisotropy, impedance, 3D wavelets, compaction trends and convergence metrics. https://t.co/sRPctcTvEL #ReservoirExperts
Get higher quality results with Automated Depth Matching, our newest feature available in PowerLog for faster workflows with easy replicated techniques.
Watch video to find out more!!
https://t.co/dzPJmuBgS0
#ReservoirExperts #MachineLearning
@CGGcompany @ONGC_ @CairnOilandGas
Train a neural network using HampsonRussell Systematic Changes feature on well logs and synthetics, and apply to the real seismic for accurate prediction results.
https://t.co/ikriAMDaVd
Click the video to find out more! #ReservoirExperts #MachineLearning
@ONGC_
Our rock physics webinar series concludes with a look at challenges for carbonate characterization and ways that rock physics modeling can help achieve better reservoir characterization results. More info and registration at https://t.co/BU76pb3V6I #ReservoirExperts
At the First @EAGE_Global Conference on Machine Learning in the Americas, our #ReservoirExperts present on reservoir characterization and well log clustering. https://t.co/tE1YyAL0x2 #CGGdigitalization
The 17th @DEVEX_Conf has gone virtual. Don't miss our free presentation on Hybrid Deep #machinelearning Inversion. https://t.co/Bn4XzABnir #CGGdigitalization #ReservoirExperts
Our Rock Physics Webinar Series continues with a look at leveraging a quantitative approach for pore space modeling. More info and registration https://t.co/BU76pb3V6I #ReservoirExperts
Our GeoSoftware Rock Physics Webinar Series begins by exploring carbonate geology and qualitative interpretation. More info and registration https://t.co/BU76pb3V6I #ReservoirExperts
Join our #ReservoirExperts *online* for the @EAGE_Global/@AAPG Digital Subsurface for Asia Pacific Conference where we present our Deep Machine Learning Application for Supervised Facies Classification #CGGdigitalization https://t.co/KGgk1G448f
This autumn, join our #ReservoirExperts for a special 3-part webinar series on improving carbonate reservoir characterization using rock physics. More info and registration at: https://t.co/BU76pb3V6I
Emerge - innovative GeoSoftware technology from our HampsonRussell #ReservoirExperts - uses proven #machinelearning to improve quantitative reservoir prediction. #CGGdigitalization https://t.co/X1OX3kXaCy
Join our GeoSoftware #ReservoirExperts to learn how you can perform artificial intelligence porosity prediction using a simple well catalog workflow. Webinar sign-up and more info https://t.co/fTl0Gg7b1y #CGGdigitalization
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