Pore Pressure Prediction Using Well and Seismic Data In Niger Delta

Lieferzeit: Lieferbar innerhalb 14 Tagen

35,90 

ISBN: 3659925209
ISBN 13: 9783659925207
Autor: Abioye, Mathew/Isehunwa, Sunday
Verlag: LAP LAMBERT Academic Publishing
Umfang: 88 S.
Erscheinungsdatum: 26.08.2016
Auflage: 1/2016
Format: 0.6 x 22 x 15
Gewicht: 149 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 9833726 Kategorie:

Beschreibung

Since data analysed are from Niger Delta, we make use of well log data by integrating the interval sonic transit time ratio, Tn/To into figure 4.17 below and generate the estimated pore pressure gradient for a particular field in Niger Delta. The generated pore pressure gradient can then multiply with its corresponding depth for pore pressure prediction at the desired point in Niger Delta. Conclusively; i. The model accurately predicted the top of overpressure and under-pressure in the reservoir correctly; this was possible after the interval sonic transit time ratio had been integrated. Also, the model predicted abnormal high pressure gradients up to 0.803 psi/ft while the predicted subsurface gradient down to 0.243 psi/ft. ii. The anisotropic factor was calibrated from seismic velocity and well logs sonic data of Three (3) wells in Niger Delta. The ratio is between 0.72 - 1.4, thus suggesting that there is alternating sandstone and shale zones in the reservoir rock. iii. The newly developed model can be use to estimate pore pressure gradient using interval sonic transit time ratio, with depth-dependent compaction trendline in a deepwater well in the Niger-Delta

Autorenporträt

Abioye Adekunle Mathew is a Nigerian, graduated from University of Ibadan, Nigeria, with B.Sc degree in Geology and M.Sc degree in Petroleum Engineering. At Chevron Nigeria Limited, he has a stellar record of successful deepwater reservoir and production engineering project completion, seismic interpretation, wireline logging, sequence stratigraphy

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