A 10,000 ft. [Subsurface] View on Why You Should Learn Geostatistics

Data Science, Geoscience, Geostatistics, Subsurface , , , ,
Michael Pyrcz, PhD, P.Eng (daytum Founding Advisor) Statistics provide quantitative lens for a new perspective on subsurface data and to better understand subsurface uncertainty. Learning Geostatistics will help you leverage: Deductive Statistics – Pooling data for the purpose of quantification of univariate, multivariate and spatial phenomenon Inferential Statistics – Methods to make inferences concerning the…
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daytum Beta Workshop Takeaways (June 2019)

General, Workshops , , , , , , , ,
While we may be experienced educators, we are always aiming to iterate and improve our content and delivery so that we can best serve our audience. Last week, we hosted a closed beta workshop here in Houston with seasoned energy professionals and found it to be an incredible learning experience both for us as educators…
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Uncertainty for Geoscientists, Data Scientists, and Engineers

Engineering, General, Geoscience, Geostatistics, Petroleum Engineering, Statistics , , , ,
Michael Pyrcz, PhD, P.Eng (daytum Founding Advisor) What is Subsurface Uncertainty? Uncertainty is not an intrinsic property of the subsurface. At every location (uα) within the volume of interest the true properties could be measured if we had access (facies, porosity etc.). Uncertainty is a function of our ignorance, our inability to observe and measure…
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Brief Musings on Subsurface Data Analytics and Machine Learning

Coding, Data Science, Engineering, Geoscience, Machine Learning, Petroleum Engineering, Statistics , , , , ,
Michael Pyrcz, PhD, P.Eng (daytum Founding Advisor) Subsurface is Unique Due to (1) sparse data, (2) heterogeneous spatial system, (3) high degree of uncertainty, (4) thick layer of unavoidable interpretation, and (5) extremely high value development decisions We must go beyond the data! Data analytics is the application of data cleaning and statistical analysis to…
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