November 2020
Intermediate to advanced
315 pages
6h 3m
English
book
Machine Learning in the Oil and Gas Industry: Including Geosciences, Reservoir Engineering, and Production Engineering with Python
by Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, Luigi Saputelli
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Index
A
Actual data vs. hyperbolic forecast
Adadelta optimizer
Adam optimizer
Anaconda distribution
Arps decline curve model
SeeDecline curve analysis)
Artificial intelligence
Artificial neural networks
Autocorrelation function (ACF)
Autoregressive integrated moving average (ARIMA)
autoregressive model
components
log transformation
moving average model
parameters
production data
time series
B
Backpropagation theory
Bagging
Big data technologies
Boosting
Bootstrapping
Born approximation
Bottomhole pressure (BHP)
Boundary dominated flow (BDF)
Box-Behnken experimental design
C
Capital expenditure (CAPEX)
Cloud computing
Clustering
Completion
Computational linguists
Confusion matrix
Convolutional neural networks (CNNs)
concepts
loss function
schematic depiction
SFO dataset
Critical oil ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.