UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS

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2024-11-21 20:28

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Conference: Bucharest University Faculty of Physics 2008 Meeting


Section: Atmosphere and Earth Science; Environment Protection


Title:
Sonic measurements in oil industry (POSTER)


Authors:
Monica Ghioca


Affiliation:
Schlumberger


E-mail
mghioca@yahoo.com


Keywords:
MSIP, porosity, sonic log


Abstract:
The Modular Sonic Imaging Platform (MSIP) is the best sonic tool of Schlumberger. Acoustic measurements were first made in an oil well in early 1951. The measurement was first made to determine a formation`s acoustic velocity which was needed to convert the time measurements made during seismic explorations to depth. Shortly after this development it was discovered that acoustic velocity could be used to estimate porosity, which brought the sonic logging tool into the realm of formation evaluation for the purpose of determining the presence and quantity of hydrocarbons. Further studies of acoustic propagation revealed that properties of materials could be evaluated by studying the acoustic coupling between materials by looking at the amplitudes of the propagating waveform. The full application of sonic logging was not realized until the capabilities of real time signal processing and massive data acquisition were developed. The main oilfield applications of sonic logging can be listed as: mechanical properties, formation evaluation (porosity estimation, gas identification, lithology determination) and cement bond logging.The paper presents a case study of MSIP measurements for porosity computation and gas detection. Porosity can be estimated from the compressional slowness measured by the sonic log. There are two common methods of calculating porosity from a sonic log: Wyllie time-average equation and Raymer-Hunt equation. The sonic log can be used to detect the presence of natural gas. Compressional slowness is largely affected by natural gas whereas shear slowness is not greatly affected, as shown in the lithology crossplot.