AN ADVANCED ANALYSIS TECHNIQUE FOR SUSTAINABLE PETROLEUM OPERATIONS
A Scientific Guideline for Experimental and Mathematical Modeling of Petroleum Reservoirs
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Petroleum resources continue to be the main source ofenergy in today s civilization. It is important topredict petroleum production accurately in order toplan long-term energy management. Currently usedpredictive tools are inadequate for capturing thescience of petroleum production. This book makesimportant fundamental advancement in modeling complexphenomena that are currently neglected or are addedto the predictive tool with unjustifiedsimplification. Various mathematical models that areused for characterizing phenomena, ranging fromdrilling to reservoir engineering, are considered.Also, pre...
Petroleum resources continue to be the main source of
energy in today s civilization. It is important to
predict petroleum production accurately in order to
plan long-term energy management. Currently used
predictive tools are inadequate for capturing the
science of petroleum production. This book makes
important fundamental advancement in modeling complex
phenomena that are currently neglected or are added
to the predictive tool with unjustified
simplification. Various mathematical models that are
used for characterizing phenomena, ranging from
drilling to reservoir engineering, are considered.
Also, presented are shortcomings, such as, the use of
linear or linearized rheological and rock behavior
models, unsustainable drilling practices,
insufficient risk analysis models, and inaccurate
description of the thermal effects in a petroleum
reservoir. This book will lead to the development of
more accurate reservoir simulation tools and
comprehensive risk analysis methods. These methods
can be used by petroleum engineers, mechanical
engineers, chemical engineers, risk analysts,
operating engineers, and graduate students to develop
sustainable drilling and production operations.
energy in today s civilization. It is important to
predict petroleum production accurately in order to
plan long-term energy management. Currently used
predictive tools are inadequate for capturing the
science of petroleum production. This book makes
important fundamental advancement in modeling complex
phenomena that are currently neglected or are added
to the predictive tool with unjustified
simplification. Various mathematical models that are
used for characterizing phenomena, ranging from
drilling to reservoir engineering, are considered.
Also, presented are shortcomings, such as, the use of
linear or linearized rheological and rock behavior
models, unsustainable drilling practices,
insufficient risk analysis models, and inaccurate
description of the thermal effects in a petroleum
reservoir. This book will lead to the development of
more accurate reservoir simulation tools and
comprehensive risk analysis methods. These methods
can be used by petroleum engineers, mechanical
engineers, chemical engineers, risk analysts,
operating engineers, and graduate students to develop
sustainable drilling and production operations.
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