Ray‐based tomography for Q estimation and Q compensation in complex media

Cavalca, M.; Moore, Ian D.; Zhang, Ling; Ng, Swee Leng; Fletcher, Richard; Bayly, Martin

doi:10.1190/1.3628039

Cited by 34 publications

(14 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Significant progress has been achieved over the last decade, improving anisotropy modeling and increasing model resolution (Woodward et al 2008). Furthermore, ray-based tomography can be used to derive absorption (Q) depth models (Cavalca et al 2011;Hu et al 2011). This process is often referred to as Q tomography.…”

Section: D High-resolution Tomography and Q-imagingmentioning

confidence: 99%

See 1 more Smart Citation

Enhanced 4D Imaging in West Africa Using High-resolution Tomography and Q-imaging

Cavalca¹,

Penwarden²,

King³

et al. 2013

Proceedings

View full text Add to dashboard Cite

A high-resolution tomography and imaging approach is used to enhance the 3D and 4D responses of a complex production field, West Africa. The approach relies upon building a high-resolution anisotropic vertical transverse isotropic earth model including anisotropic velocity and 1/Q components and applying amplitude and phase Q-compensation within Kirchhoff prestack depth migration. Velocity and absorption effects associated with overburden heterogeneities are nicely mitigated, leading to enhanced amplitudes and resolution in the prestack gathers and 3D/4D images.

show abstract

Section: D High-resolution Tomography and Q-imagingmentioning

confidence: 99%

“…Q tomography Ray-based Q tomography is applied following the approach proposed by Cavalca et al (2011). This approach relies upon estimating attenuated traveltimes (or effective Qs) from prestack data prior to migration and tomographically inverting them to reconstruct the 1/Q variations of the subsurface.…”

Section: D High-resolution Tomography and Q-imagingmentioning

confidence: 99%

Enhanced 4D Imaging in West Africa Using High-resolution Tomography and Q-imaging

Cavalca¹,

Penwarden²,

King³

et al. 2013

Proceedings

View full text Add to dashboard Cite

show abstract

“…Measured attenuation can be compensated by applying processes such as the early techniques of inverse-Q filtering (Wang, 2002). More recently, stronger compensation due to gas or mud was included directly in the imaging process (Xie et al, 2009;Fletcher et al, 2012) through an interval Q model computed by tomography (Xin et al, 2008;Cavalca et al, 2011;Xin et al, , 2014). Generally, effective Q quantities are then inverted to produce a 3D interval Q model.…”

Section: Introductionmentioning

confidence: 99%

Automatic Gas Pockets Detection by High-resolution Volumetric Q-tomography Using Accurate Frequency Peak Estimation

Gamar-Sadat¹,

Guillaume²,

Pica³

et al. 2015

Proceedings

View full text Add to dashboard Cite

Conventional imaging does not deal adequately with absorption, especially in the case of strong anomalies. Over recent years, many authors have proposed to compensate the absorption loss effects inside of the migration through the use of an attenuation model. Q tomography has been developed for estimating this attenuation model but is generally limited to estimating attenuation in predefined anomalies. In this paper, we explain how we developed a high-resolution volumetric Q tomography to attain an accurate volumetric estimation of the attenuation model. A key component of our workflow is the estimation of effective attenuation in the pre-stack data domain through accurate picking of the frequency peak. Finally we present a case study where our approach has been used to reveal shallow gas pockets and compensate for absorption in the migration.

show abstract

“…Measured attenuation can be compensated by applying processes such as the early techniques of inverse-Q filtering (Wang, 2002). More recently, stronger compensation due to gas or mud was included directly in the imaging process (Xie et al, 2009;Fletcher et al, 2012) through an interval Q model computed by tomography (Xin et al, 2008;Cavalca et al, 2011;Xin et al, 2014, Gamar et al, 2015. Generally, effective Q quantities are then inverted to produce a 3D interval Q model.…”

Section: Introductionmentioning

confidence: 99%

Success of high-resolution volumetric Q-tomography in the automatic detection of gas anomalies on offshore Brunei data

Gamar

Carotti

Guillaume

et al. 2015

SEG Technical Program Expanded Abstracts 2015

View full text Add to dashboard Cite

Over recent years, many authors have proposed to compensate the absorption loss effects inside of the imaging process through the use of an attenuation model. This is necessary in the presence of strong attenuation anomalies. Q tomography has been developed for estimating this attenuation model but is generally limited to estimating attenuation in predefined anomaly areas. In this paper, we show how shallow gas pockets are revealed automatically by using a high-resolution volumetric Q tomography on the complex offshore Brunei dataset. A key component of our approach is the estimation of effective attenuation in pre-stack migrated domain through accurate picking of the frequency peak. Estimated Q-model is then used to compensate for absorption in the imaging process.

show abstract

Ray‐based tomography for Q estimation and Q compensation in complex media

Cited by 34 publications

References 8 publications

Enhanced 4D Imaging in West Africa Using High-resolution Tomography and Q-imaging

Enhanced 4D Imaging in West Africa Using High-resolution Tomography and Q-imaging

Automatic Gas Pockets Detection by High-resolution Volumetric Q-tomography Using Accurate Frequency Peak Estimation

Success of high-resolution volumetric Q-tomography in the automatic detection of gas anomalies on offshore Brunei data

Contact Info

Product

Resources

About