Through extensive tables, graphs and equations, this book quantifies reservoir uncertainties in the field of development plan. Using log interpretations complemented by the meaning and relevance of the input data, this book is directed toward the development of methods to control log quality. Focused on assessing the quantitative properties of the reservoir as a means of avoiding risky investments, this book explores all phases, from delineation to abandonment. The approach requires a highly selective attitude towards data acquisition and a multi-disciplinary interpretation of this data, which have proved critical in maximizing recovery from producing fields.
Through extensive tables, graphs and equations, this book quantifies reservoir uncertainties in the field of development plan. Using log interpretations complemented by the meaning and relevance of the input data, this book is directed toward the development of methods to control log quality. Focused on assessing the quantitative properties of the reservoir as a means of avoiding risky investments, this book explores all phases, from delineation to abandonment. The approach requires a highly selective attitude towards data acquisition and a multi-disciplinary interpretation of this data, which have proved critical in maximizing recovery from producing fields.
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Technology
Zielgruppe
Illustrationen
figures, tables, graphs, index
Maße
Höhe: 178 mm
Breite: 254 mm
ISBN-13
978-2-7108-0601-1 (9782710806011)
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Schweitzer Klassifikation
Part 1 Premises: evaluation of hydrocarbon volume; elements of metrology I; elements of metrology II; other attributes; mathematical preliminary; propagation of errors. Part 2 Data acquisition: sensor technology and physics of measurement; tool response; environmental corrections; density logging; the real environment; calibration; logging cable; signal processing; filtering; enhancement of vertical resolution through processing. Part 3 Log quality control: completeness of information; check of values surface and downhole; monitoring of tool behaviour; operating procedures; repeatability; data quality evaluation; comparison with data from other origins; optimum logging and uncertainty management.