Shotaro Nakayama
Adma
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Publication
Featured researches published by Shotaro Nakayama.
First Break | 2015
Shotaro Nakayama; Gary Mercado; Mark Benson; Kamel Belaid; Mikaël Garden
ADMA-OPCO undertook a large 3D-4C OBC (ocean bottom cable) survey over an oil and gas field offshore Abu Dhabi, UAE. The survey was designed to acquire a high-fold dataset having wide azimuth and long offset sampling. The survey utilized, for the first time, two simultaneous source techniques so-called DS3 (Distance Separated Simultaneous Shooting) and MSS (Managed Spread and Sources) to enhance survey productivity and minimize HSE exposure in the field. DS3 and MSS involve two source vessels operating simultaneously while maintaining predetermined separations among shots in time and space to produce records with minimal contamination of seismic interferences. Unlike land surveys, these two techniques had not previously been applied to an OBC survey. To ensure adequacy of the techniques, the acquisition started with 2D tests prior to full-field implementation. With DS3 and MSS, the 3D survey yielded remarkable enhancement of survey productivity as compared to conventional single source vessel configuration. DS3 and MSS along with proper temporal and spatial source vessel separations enable recorded data to be handled as if acquired by non-simultaneous source survey.
First Break | 2016
Shotaro Nakayama; Mark Benson; Tarek Materid; Kamal Belaid; Dmitriy Zarubov
Due mainly to commercial and operational constraints, seismic data are often sparsely and irregularly sampled, leading to several challenges in processing of 3D OBC seismic data offshore Abu Dhabi. Conventional linear noise attenuation techniques based on multi-channel filters are not effective with Scholte waves as they are usually aliased with typical sampling intervals in 3D OBC seismic data (e.g., 25 m source and receiver point intervals), and sometimes scattered because of near-surface heterogeneity. To address them, we apply model-based surface wave attenuation, Surface Wave Analysis Modelling and Inversion (SWAMI), which enables an estimate of local near-surface properties by analysing dispersion curves. Thus, both direct and scattered Scholte waves are effectively modelled and attenuated without suffering from under-sampling. A data interpolation and regularization technique called Matching Pursuit Fourier Interpolation (MPFI) is then applied to enhance spatial sampling. MPFI employs an anti-aliasing capability so optimum data reconstruction can be performed for any frequency range. In addition to the regularization aspect, MPFI with a 5D implementation (4 spatial coordinates and time) is targeted to densify receiver line interval and extend source lines, which consequently enhances fold, offset and azimuth distributions of the data.The implementation of the two techniques successfully addresses processing challenges in sparsely and irregularly sampled OBC seismic data.
Exploration Geophysics | 2015
Abu Dhabi; Shotaro Nakayama; Mark Allen; Benson Tarek; Kamal Belaid Matarid; Mikaël Garden; Dmitry Zarubov; Schlumberger Geosolutions Abu Dhabi; Schlumberger Geosolutions
Due mainly to commercial and operational constraints, seismic data are often sparsely and irregularly sampled, leading to several challenges in processing of 3D OBC seismic data offshore Abu Dhabi. Conventional linear noise attenuation techniques are not effective with Scholte waves as they are usually aliased with typical sampling interval in 3D OBC seismic data, and sometimes scattered because of near-surface heterogeneity. To address this, we apply model-based surface wave attenuation, Surface Wave Analysis Modeling and Inversion (SWAMI), which enables an estimate of local near-surface properties by analysing dispersion curves. Thus, both direct and scattered Scholte waves are effectively modelled and attenuated without suffering a lack of spatial sampling. We also highlight the shortcomings of the application of interferometry to scattered noise attenuation for sparse acquisition geometry. Matching Pursuit Fourier Interpolation (MPFI) is then implemented to deal with insufficient sampling in crossline direction caused by acquisition geometry. MPFI employs anti-aliasing capability so optimum data reconstruction can be performed for any frequency ranges. In addition to regularization aspect, MPFI with 5D implementation (4 spatial coordinates and time) is targeted to densify receiver line interval and extend source lines, which consequently enhances fold, offset and azimuth distributions of the data.
information processing and trusted computing | 2014
Shotaro Nakayama; Kamal Belaid
Ocean Bottom Cable (OBC) seismic survey has several technical advantages over conventional towed-streamer technique as it enables the acquisition of wide azimuth and high fold datasets having long offsets and less spatial discontinuities. However, its usage is still limited because of requirement of relatively large operational efforts which likely results in more survey cost and duration. Consequently, optimization of OBC seismic survey productivity is essential to narrow the business gap with towed-streamer acquisition and enhance widespread applicability of OBC techniques. Due to the decoupled aspect of the source and receiver lines, OBC survey can inherently form numerous survey designs. Our study is conducted with the aim to find efficient OBC seismic survey designs that still satisfy established geophysical objectives among infinite selections. We introduce survey designing criteria on the basis of sampling of OVTs (Offset Vector Tile) which allows us to achieve desired offset and azimuth distributions in final imaging. Productivity analysis is then performed based on current equipment availability enabling a variety of survey designs and geometries which were not feasible previously. We also adapt several geometry options including two dual source-vessel operations: (1) Distanced Separated Simultaneous Shooting (DS3); and (2) Dual Source-Vessel Flip-Flop Shooting (DSVFFS). Applicability of dual source-vessel operations to OBC survey has not been well described unlike marine towed-streamer and land cases. Thus, we analyse the impact of dual source-vessel operations on OBC survey efficiency. Additionally, we discuss technical challenges resulting from the relationship between OBC survey designs and the resultant interference noise wave fields not generally associated with other acquisition techniques.
information processing and trusted computing | 2014
Shotaro Nakayama; Kamal Belaid
In the mature oil and gas fields offshore Abu Dhabi, reservoir properties required for static and dynamic models are relatively well-defined by a number of wells. On the other hand, seismic data are considered as a fundamental and primary source to determine and optimize well placements. Azimuthal velocity analysis using wide-azimuth 3D-2C OBC seismic data is performed on different formations where several drilling issues arose mainly due to two dominant tectonic forces in the region. The results reveal different magnitude and orientation of azimuthal anisotropy from overburden to reservoir level. Available FMI and DSI logs confirm consistency between seismic and borehole-driven azimuthal anisotropy. The analysis results are also in agreement with the regional geology and tectonic history. Azimuthal anisotropy analysis generally provides two types of information such as the orientation of anisotropy and the amount of anisotropy. The amount of anisotropy can be simply quantified while the information obtained from the azimuth data has some complexity as it is a periodic function. In this respect, a statistical model of the bipolar von Mises distribution is proposed to determine the preferred orientation of azimuthal anisotropy. The model also provides the concentration parameter that can quantify the degree of preferred dimensional orientation of azimuth data. Additionally, we show utilization of the azimuthal anisotropy analysis particularly on a non-fracture layer and its benefit to field development by the analysis of spatially varying mud weight prediction.
SPE Annual Technical Conference and Exhibition | 2016
Muhammad Waqas; Shotaro Nakayama; Mark Benson; Yassar Goraya; Franciscus van Kleef; Giuseppe Macri; Agata Sroka; Keith Mills; John Cowley
SPE Middle East Oil & Gas Show and Conference | 2017
M. A. Benson; T. Lecoq; G. Mercado; Shotaro Nakayama; N. Moldoveanu; P. Caprioli; G. Nyein; S. Pai; E. Yandon
Seg Technical Program Expanded Abstracts | 2016
Shotaro Nakayama; Glenn Kyaw Nyein
First Break | 2016
Shotaro Nakayama; Mark Benson; Tarek Materid; Kamal Belaid; Dmitriy Zarubov
information processing and trusted computing | 2015
Shotaro Nakayama; Mark Benson; Tarek Mohamed Matarid; Kamal Belaid; Mickael Garden; Dmitry Zarubov