Advance in Carbonate Rock Physics - Mineralogy Analysis and Acoustic Velocity Mapping on Thin Slice Image Using ANN

Wardaya, Pongga Dikdya; Nurhandoko, Bagus Endar B.

doi:10.3997/2214-4609.20148931

Cited by 1 publication

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“…Our emphasis is to narrowing down the observation and measurement scale so that the influence of the pore structure to the seismic propagation, and particularly seismic velocity can be seen accurately. The wave simulation is based on the finite difference modelling for acoustic propagation which involves the use of neural network for generating velocity and density profile [3,4]. In addition, Kuster-Toksoz theoretical model and Wyllie time average [5] were applied by using the input from pore quantification and constituent fraction in order to give the velocity estimates in thin section scale.…”

Section: The Thin Section Rock Physics: Modeling and Measurement Of Smentioning

confidence: 99%

“…The second sample (Figure 1b), is the sample that has the mouldic ooid shape pore spaces and composed of mono-mineral matrix of calcite. Quantification of the pore structure was performed by using image analysis technique and the aid of the artificial neural network for segmentation and constituent fraction estimation task [3,4]. The thin section images that originally are in RGB color space need to be transformed into binary in order to enable the pore quantification easily.…”

Section: Pore Structure Quantificationmentioning

confidence: 99%

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The thin section rock physics: Modeling and measurement of seismic wave velocity on the slice of carbonates

Wardaya¹,

Noh²,

Yusoff³

et al. 2014

AIP Conference Proceedings

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This paper discusses a new approach for investigating the seismic wave velocity of rock, specifically carbonates, as affected by their pore structures. While the conventional routine of seismic velocity measurement highly depends on the extensive laboratory experiment, the proposed approach utilizes the digital rock physics view which lies on the numerical experiment. Thus, instead of using core sample, we use the thin section image of carbonate rock to measure the effective seismic wave velocity when travelling on it. In the numerical experiment, thin section images act as the medium on which wave propagation will be simulated. For the modeling, an advanced technique based on artificial neural network was employed for building the velocity and density profile, replacing image's RGB pixel value with the seismic velocity and density of each rock constituent. Then, ultrasonic wave was simulated to propagate in the thin section image by using finite difference time domain method, based on assumption of an acoustic-isotropic medium. Effective velocities were drawn from the recorded signal and being compared to the velocity modeling from Wyllie time average model and Kuster-Toksoz rock physics model. To perform the modeling, image analysis routines were undertaken for quantifying the pore aspect ratio that is assumed to represent the rocks pore structure. In addition, porosity and mineral fraction required for velocity modeling were also quantified by using integrated neural network and image analysis technique. It was found that the Kuster-Toksoz gives the closer prediction to the measured velocity as compared to the Wyllie time average model. We also conclude that Wyllie time average that does not incorporate the pore structure parameter deviates significantly for samples having more than 40% porosity. Utilizing this approach we found a good agreement between numerical experiment and theoretically derived rock physics model for estimating the effective seismic wave velocity of rock.

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Section: The Thin Section Rock Physics: Modeling and Measurement Of Smentioning

confidence: 99%

Section: Pore Structure Quantificationmentioning

confidence: 99%

The thin section rock physics: Modeling and measurement of seismic wave velocity on the slice of carbonates

Wardaya¹,

Noh²,

Yusoff³

et al. 2014

AIP Conference Proceedings

View full text Add to dashboard Cite

show abstract

Advance in Carbonate Rock Physics - Mineralogy Analysis and Acoustic Velocity Mapping on Thin Slice Image Using ANN

Cited by 1 publication

References 0 publications

The thin section rock physics: Modeling and measurement of seismic wave velocity on the slice of carbonates

The thin section rock physics: Modeling and measurement of seismic wave velocity on the slice of carbonates

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