Machine Learning in the Oil and Gas Industry: Including Geosciences, Reservoir Engineering, and Production Engineering with Python

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 ...