Detailed study of seismic wave attenuation from four oilfields in Abu Dhabi, United Arab Emirates

Bouchaala, Fateh; Ali, Mohammed Y.; Matsushima, Jun

doi:10.1088/1742-2140/aa9a08

Cited by 6 publications

(1 citation statement)

References 28 publications

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“…Moreover, at their terminations, these structural features yield diffraction noises and seismic wave scattering (Jaglan et al 2015;Bashir et al 2020) and anhydrite cement to spread laterally and vertically within the Issaran field's reservoir layers. As a result, the seismic waves were scattered and dispersed, resulting in a low signal-to-noise ratio and spatial resolution of Issaran seismic data (Sarhan, 2017;Bouchaala et al, 2018;Rao and Wang, 2019). Such lithologic heterogeneity may reveal complex seismic patterns, inducing chaotic seismic features both vertically and laterally.…”

Section: Prevailing Geoseismic Conditionsmentioning

confidence: 99%

RETRACTED ARTICLE: Improvement of seismic data quality and recognition of fault discontinuities through seismic data conditioning applications: a case study of Issaran oil field, Gulf of Suez, Egypt

Isaac

Ata

2022

J Petrol Explor Prod Technol

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Obtaining high-quality seismic imaging in shallow heterogeneous carbonate reservoirs with complicated structural regimes, such as the Issaran field, is difficult. Issaran field is a heavy oil shallow heterogeneous fractured carbonate reservoirs located in the Gulf of Suez of Egypt. It has many geological factors that affect image quality and pose numerous challenges. In addition, the seismic data was acquired more than 12 years ago, with narrow azimuth and short offsets. As a result, the fault zones are not sharply defined. Furthermore, the seismic data was processed about 10 years ago. The signal-to-noise ratio is relatively poor due to the random and coherent noises. A robust data conditioning workflow for noise suppression and fault discontinuity sharpening is used to improve the post-stack seismic data quality. In this context, a steering dataset was generated, and a dip-steered median filter (DSMF), a dip-steered diffusion filter, and a fault enhancement filter (FEF) were applied to sharpen the discontinuities. Structural attributes were evaluated, to investigate how the newly applied data conditioning affects the clarity of fault patterns. Furthermore, multiple physical attributes were extracted, including instantaneous phase, instantaneous frequency, and RMS amplitude to better understand the reservoir stratigraphic heterogeneity. The application of DSMF is useful in removing the residual random noises. The FEF-similarity attribute revealed small-scale faults with a 50-foot vertical throw. The physical attributes proved that the Issaran carbonate facies is controlled by structure. Moreover, the RMS amplitude attribute helped in distinguishing between porous and non-porous dolomite facies. As imaging quality has significantly improved, the applied seismic data conditioning workflow is beneficial for the field development in Issaran field. It is also suggested that this data conditioning workflow be applied in other heterogeneous carbonate reservoirs with complex structures around the world.

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Section: Prevailing Geoseismic Conditionsmentioning

confidence: 99%

RETRACTED ARTICLE: Improvement of seismic data quality and recognition of fault discontinuities through seismic data conditioning applications: a case study of Issaran oil field, Gulf of Suez, Egypt

Isaac

Ata

2022

J Petrol Explor Prod Technol

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Integrating Long term Satellite Data and Machine Learning to Spatiotemporal Fire Analysis in Hour al Azim International Wetland

Hashemi,

Mohammad Asgari

2024

Water Air Soil Pollut

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Propagation of waves with a wide range of frequencies in digital core samples and dynamic strain anomaly detection: carbonate rock as a case study

Matsushima

Ali

Bouchaala

2020

Geophysical Journal International

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Summary Recent advancements in various types of seismic measurement methods, such as sonic logging, vertical seismic profiling (VSP), and surface seismic surveys, have allowed the high-quality measurement of seismic wave propagation over a broad frequency range. To elucidate the relationship between seismic wave propagation captured by various seismic methods at widely different frequencies and in highly heterogeneous zones (e.g. fractures, vuggy zones) developed in carbonate reservoirs, laboratory measurements have been conducted over a broad frequency range. However, existing laboratory methods measure the effective properties over an entire core sample. Furthermore, there are few laboratory measurements of individual fracture stiffnesses. We propose a method to indirectly estimate the local properties caused by local anomalies (e.g. fractures) in a core sample over a broad frequency range from the dynamic elastic properties of a dry core sample using synthetic seismic waveforms generated from a digital volume of the core sample. Three-dimensional numerical simulations were conducted over a broad frequency range using a digital core model produced by X-ray computed tomography. The proposed method was applied to numerical models and two types (fractured and vuggy) of carbonate core plugs acquired in an Abu Dhabi oil field, with the frequency ranging from 200 Hz to 100 kHz in the tests. Local strain anomalies and their frequency dependencies were successfully detected in the fractured core plug. Such frequency-dependent local responses could be associated with the micromechanics of incomplete solid–solid contacts at fractures or the heterogeneity of core samples, and thus with the frequency-dependent fracture stiffness. It was also demonstrated that the heterogeneity-induced local strain in a vuggy core plug may affect the accuracy of existing low-frequency laboratory measurements.

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Detailed study of seismic wave attenuation from four oilfields in Abu Dhabi, United Arab Emirates

Cited by 6 publications

References 28 publications

RETRACTED ARTICLE: Improvement of seismic data quality and recognition of fault discontinuities through seismic data conditioning applications: a case study of Issaran oil field, Gulf of Suez, Egypt

RETRACTED ARTICLE: Improvement of seismic data quality and recognition of fault discontinuities through seismic data conditioning applications: a case study of Issaran oil field, Gulf of Suez, Egypt

Integrating Long term Satellite Data and Machine Learning to Spatiotemporal Fire Analysis in Hour al Azim International Wetland

Propagation of waves with a wide range of frequencies in digital core samples and dynamic strain anomaly detection: carbonate rock as a case study

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