### Abstract

We have developed a random heterogeneous velocity model with bimodal distribution in methane hydrate-bearing zones. The P-wave well-log data have a von Karman type autocorrelation function and non-Gaussian distribution. The velocity histogram has two peaks separated by several hundred metres per second. A random heterogeneous medium with bimodal distribution is generated by mapping of a medium with a Gaussian probability distribution, yielded by the normal spectral-based generation method. By using an ellipsoidal autocorrelation function, the random medium also incorporates anisotropy of autocorrelation lengths. A simulated P-wave velocity log reproduces well the features of the field data. This model is applied to two simulations of elastic wave propagation. Synthetic reflection sections with source signals in two different frequency bands imply that the velocity fluctuation of the random model with bimodal distribution causes the frequency dependence of the Bottom Simulating Reflector (BSR) by affecting wave field scattering. A synthetic cross-well section suggests that the strong attenuation observed in field data might be caused by the extrinsic attenuation in scattering. We conclude that random heterogeneity with bimodal distribution is a key issue in modelling hydrate-bearing zones, and that it can explain the frequency dependence and scattering observed in seismic sections in such areas.

Original language | English |
---|---|

Pages (from-to) | 41-49 |

Number of pages | 9 |

Journal | Exploration Geophysics |

Volume | 36 |

Issue number | 1 |

DOIs | |

Publication status | Published - 2005 |

Externally published | Yes |

### Fingerprint

### Keywords

- Autocorrelation
- Bimodal distribution
- BSR
- Methane hydrate
- Random heterogeneous

### ASJC Scopus subject areas

- Geophysics
- Geology

### Cite this

*Exploration Geophysics*,

*36*(1), 41-49. https://doi.org/10.1071/EG05041

**Random heterogeneous model with bimodal velocity distribution for Methane Hydrate exploration.** / Kamei, Rie; Hato, Masami; Matsuoka, Toshifumi.

Research output: Contribution to journal › Article

*Exploration Geophysics*, vol. 36, no. 1, pp. 41-49. https://doi.org/10.1071/EG05041

}

TY - JOUR

T1 - Random heterogeneous model with bimodal velocity distribution for Methane Hydrate exploration

AU - Kamei, Rie

AU - Hato, Masami

AU - Matsuoka, Toshifumi

PY - 2005

Y1 - 2005

N2 - We have developed a random heterogeneous velocity model with bimodal distribution in methane hydrate-bearing zones. The P-wave well-log data have a von Karman type autocorrelation function and non-Gaussian distribution. The velocity histogram has two peaks separated by several hundred metres per second. A random heterogeneous medium with bimodal distribution is generated by mapping of a medium with a Gaussian probability distribution, yielded by the normal spectral-based generation method. By using an ellipsoidal autocorrelation function, the random medium also incorporates anisotropy of autocorrelation lengths. A simulated P-wave velocity log reproduces well the features of the field data. This model is applied to two simulations of elastic wave propagation. Synthetic reflection sections with source signals in two different frequency bands imply that the velocity fluctuation of the random model with bimodal distribution causes the frequency dependence of the Bottom Simulating Reflector (BSR) by affecting wave field scattering. A synthetic cross-well section suggests that the strong attenuation observed in field data might be caused by the extrinsic attenuation in scattering. We conclude that random heterogeneity with bimodal distribution is a key issue in modelling hydrate-bearing zones, and that it can explain the frequency dependence and scattering observed in seismic sections in such areas.

AB - We have developed a random heterogeneous velocity model with bimodal distribution in methane hydrate-bearing zones. The P-wave well-log data have a von Karman type autocorrelation function and non-Gaussian distribution. The velocity histogram has two peaks separated by several hundred metres per second. A random heterogeneous medium with bimodal distribution is generated by mapping of a medium with a Gaussian probability distribution, yielded by the normal spectral-based generation method. By using an ellipsoidal autocorrelation function, the random medium also incorporates anisotropy of autocorrelation lengths. A simulated P-wave velocity log reproduces well the features of the field data. This model is applied to two simulations of elastic wave propagation. Synthetic reflection sections with source signals in two different frequency bands imply that the velocity fluctuation of the random model with bimodal distribution causes the frequency dependence of the Bottom Simulating Reflector (BSR) by affecting wave field scattering. A synthetic cross-well section suggests that the strong attenuation observed in field data might be caused by the extrinsic attenuation in scattering. We conclude that random heterogeneity with bimodal distribution is a key issue in modelling hydrate-bearing zones, and that it can explain the frequency dependence and scattering observed in seismic sections in such areas.

KW - Autocorrelation

KW - Bimodal distribution

KW - BSR

KW - Methane hydrate

KW - Random heterogeneous

UR - http://www.scopus.com/inward/record.url?scp=85009428610&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85009428610&partnerID=8YFLogxK

U2 - 10.1071/EG05041

DO - 10.1071/EG05041

M3 - Article

AN - SCOPUS:85009428610

VL - 36

SP - 41

EP - 49

JO - Exploration Geophysics

JF - Exploration Geophysics

SN - 0812-3985

IS - 1

ER -