Petrophysical characterization of carbonates (SE of Spain) through full wave sonic data

Benjumea, Beatriz; López, Ana Isabel; Mari, Jean-Luc; García-Lobón, J.L.

doi:10.1016/j.jappgeo.2018.10.024

Cited by 7 publications

(5 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is of weak amplitude with locally some peaks, associated with low values of velocity, which indicate the presence of thin shaly layers. The velocity log is used to compute a porosity log, by using the empirical equation of the sonic porosity ; RH established by Raymer et al [21], adapted to carbonate formation [22]:…”

Section: Flow-log Measurementsmentioning

confidence: 99%

See 1 more Smart Citation

Characterizing flow in the first hundred-meter depth of a fractured aquifer using hybrid seismic methods, acoustic logging, and flow-log measurements

Mari

Delay

Porel

et al. 2021

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

View full text Add to dashboard Cite

Understanding subsurface flow, especially in fractured rocks only housing water through a few preferential pathways, is still challenging. The point is mainly associated with the poor accessibility of the subsurface and the lack of accurate representations for both heterogeneity and spatial distribution of water bearing bodies. This notwithstanding, highly-resolved geophysical investigations bring new images of the subsurface. This is exemplified over a fractured limestone aquifer at the site scale (for example, that of the radius of influence of an extraction well). On an experimental site, situated in the Cher region (France), two boreholes have been drilled for field experiments. Full Waveform Acoustic Logging (FWAL) and seismic experiments were conducted. Hybrid seismic imaging, which consists in combining refraction and reflection seismic results, has been carried out. Based on a four-step procedure, the processing of refracted and reflected waves provided two sections. After assemblage, these sections produced in a first step an extended time reflectivity section starting from the surface and, in a second step, a section over depth after calibration with Vertical Seismic Profile (VSP) and acoustic data. However, even the Very High Resolution (VHR) seismic methods do not have a sufficient vertical resolution to describe accurately the geological formation. The acoustic sections were processed to separate the different wave fields, to extract the criss-cross events and to build a criss-cross index log. A log of fracturation index, based on both criss-cross index and P-wave velocity measurements, was computed to detect the presence of fractures. After calibration, and under the assumption that the slower the P-wave velocity, the higher the permeability – porosity, a 3D seismic block of reflection can inform on preferential areas where flow should occur. At the scale of an open wellbore, acoustic loggings that measure wave velocities over a short distance within the well also inform on open features crosscut by the well. Finally, flow log measurements confirm the occurrence of flowing horizons that were previously marked by both seismic and acoustic data. Seismic and acoustic data are therefore suited to image contrasted hydraulic properties over fractured subsurface systems usually poorly documented.

show abstract

Section: Flow-log Measurementsmentioning

confidence: 99%

“…The Dt ma and C values are usually calibrated on core data via laboratory measurements. In our case, as we do not have laboratory measurements, we used C = 0.72 and Dt ma = 212.1 ls/m as the values given in [22]. Figure 12 shows from left to right: P-wave velocity, Gamma ray, porosity, temperature, conductivity, and flow.…”

Section: Flow-log Measurementsmentioning

confidence: 99%

Characterizing flow in the first hundred-meter depth of a fractured aquifer using hybrid seismic methods, acoustic logging, and flow-log measurements

Mari

Delay

Porel

et al. 2021

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

View full text Add to dashboard Cite

show abstract

“…In practice, the parameter Ik-Seis (Indicator (I) of permeability (k) from acoustic or seismic (Seis) data) calculated from equation (7.13) is proportional to permeability k Benjumea et al 2019).…”

Section: Hydrogeological Studymentioning

confidence: 99%

Foreword

Mari¹,

Mendes²

2020

Seismic Imaging: A Practical Approach

View full text Add to dashboard Cite

show abstract

“…FWAL, based on the analysis and processing of the various wave trains (refracted waves, guided waves, reflected waves) recorded by an acoustic tool, provides detailed information on a borehole as a function of depth, in terms of acoustic wave velocities and rock petrophysical characteristics [5], detection of geological features such as fractured zones, karstic bodies [6] or preferential flow zones [7].…”

Section: Introductionmentioning

confidence: 99%

Stoneley wave detection by acoustic Interferometry: Estimation of shear velocity of a geological formation

Mari,

Delay

2024

E3S Web Conf.

Self Cite

View full text Add to dashboard Cite

Both active and passive full waveform acoustic loggings (FWAL), complemented by a flow log, were conducted in a borehole of an experimental site located in the Cher region (France).. The acoustic tool used for the FWAL experiments is a flexible monopole tool holding a pair of piezoelectric receivers and a magnetostrictive transducer. The tool was modified to perform both active and passive FWAL. For passive acoustic logging, several runs were recorded to obtain a set of acoustic noise sections. As the noise is simultaneously recorded by two receivers of the tool, an interference noise section was elaborated by correlating or deconvolving the pair of signals and then summing these pairs of acoustic traces at each depth. This procedure, which can be interpreted as an interferometry analysis, points out the presence of low-frequency waves identified as Stoneley waves. The velocity and RMS amplitude of the Stoneley wave were computed at each depth. It is shown that: 1- the Stoneley wave velocity obtained in passive mode can be used to estimate the shear velocity of the formation, 2- the RMS amplitude and velocity variations of the Stoneley waves are strongly correlated with the variations of the flowmeter.

show abstract

Petrophysical characterization of carbonates (SE of Spain) through full wave sonic data

Cited by 7 publications

References 17 publications

Characterizing flow in the first hundred-meter depth of a fractured aquifer using hybrid seismic methods, acoustic logging, and flow-log measurements

Characterizing flow in the first hundred-meter depth of a fractured aquifer using hybrid seismic methods, acoustic logging, and flow-log measurements

Foreword

Stoneley wave detection by acoustic Interferometry: Estimation of shear velocity of a geological formation

Contact Info

Product

Resources

About