P. Barros, M. Ortin, J. Gaeman, Joshua Tunninclife, F. D. Melo, M. Rapini, Antonio Sá, Jorge Logrado
{"title":"Campos盆地OBC勘探中的多重衰减技术","authors":"P. Barros, M. Ortin, J. Gaeman, Joshua Tunninclife, F. D. Melo, M. Rapini, Antonio Sá, Jorge Logrado","doi":"10.22564/16cisbgf2019.247","DOIUrl":null,"url":null,"abstract":"Multiple attenuation is one of the biggest challenges in the seismic signal processing workflow in Campos basin. This comes from the seafloor depth variability and multiple reservoir target levels, in both pre-salt and post-salt zones. In this scenario, the main multiples interfere with the primaries, preventing a good reservoir image. The industry standard approach for multiple prediction is the 3D surface related multiple elimination (SRME) with many good implementations on towed streamer data. In Ocean Bottom Seismic (OBS) acquisition, sources are near the surface while the receivers are deployed at the seafloor, giving two different datums in the process. This dual datum poses a problem to the use of this technique direct from the OBS data. To overcome this, the traces necessary to the prediction with SRME in the OBS data are obtained from a towed streamer data in the same area. Another effective demultiple technique is the one based on the source-side wavefield propagation of the water layer to model the related multiples as described by Kostov et al. (2015) with the Generalized Deterministic Water bottom Demultiple (GDWD). Here we show a case study in Campos Basin, offshore Brazil, where towed streamer complements ocean bottom cable (OBC) data to generate a 3D SRME multiple model and then combined with water-layer wavefield propagation model to produce an improved multiple attenuation from shallow to deep water. We look at the models and its adaptive subtraction results. The streamer-OBC 3D SRME shows a reliable multiple model where the towed streamer data coverage matches the OBC’s. Meanwhile, the GDWD produces a complementary model covering most of the previous’ weaknesses resulting in a robust combined model.","PeriodicalId":332941,"journal":{"name":"Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiple attenuation techniques on OBC survey in Campos basin\",\"authors\":\"P. Barros, M. Ortin, J. Gaeman, Joshua Tunninclife, F. D. Melo, M. Rapini, Antonio Sá, Jorge Logrado\",\"doi\":\"10.22564/16cisbgf2019.247\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multiple attenuation is one of the biggest challenges in the seismic signal processing workflow in Campos basin. This comes from the seafloor depth variability and multiple reservoir target levels, in both pre-salt and post-salt zones. In this scenario, the main multiples interfere with the primaries, preventing a good reservoir image. The industry standard approach for multiple prediction is the 3D surface related multiple elimination (SRME) with many good implementations on towed streamer data. In Ocean Bottom Seismic (OBS) acquisition, sources are near the surface while the receivers are deployed at the seafloor, giving two different datums in the process. This dual datum poses a problem to the use of this technique direct from the OBS data. To overcome this, the traces necessary to the prediction with SRME in the OBS data are obtained from a towed streamer data in the same area. Another effective demultiple technique is the one based on the source-side wavefield propagation of the water layer to model the related multiples as described by Kostov et al. (2015) with the Generalized Deterministic Water bottom Demultiple (GDWD). Here we show a case study in Campos Basin, offshore Brazil, where towed streamer complements ocean bottom cable (OBC) data to generate a 3D SRME multiple model and then combined with water-layer wavefield propagation model to produce an improved multiple attenuation from shallow to deep water. We look at the models and its adaptive subtraction results. The streamer-OBC 3D SRME shows a reliable multiple model where the towed streamer data coverage matches the OBC’s. 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引用次数: 0
摘要
多次衰减是Campos盆地地震信号处理流程中最大的挑战之一。这是由于海底深度变化和盐下和盐后区域的多个储层目标层。在这种情况下,主复层会干扰初级层,从而无法获得良好的油藏图像。多重预测的工业标准方法是三维表面相关多重消除(SRME),它在拖曳流数据上有许多很好的实现。在海底地震(OBS)采集中,震源靠近地面,而接收器部署在海底,在此过程中提供两个不同的基准。这种双重基准给直接从OBS数据使用这种技术带来了问题。为了克服这个问题,OBS数据中的SRME预测所需的迹线是从同一区域的拖曳拖缆数据中获得的。另一种有效的去多重技术是基于水层源侧波场传播来模拟相关倍数的技术,如Kostov等人(2015)所述,采用广义确定性水底去多重(GDWD)。在这里,我们展示了巴西近海Campos盆地的一个案例研究,在该案例中,拖曳拖缆与海底电缆(OBC)数据相补充,生成3D SRME多重模型,然后与水层波场传播模型相结合,从浅水到深水产生改进的多重衰减。我们看看模型和它的自适应减法结果。流媒体-OBC 3D SRME显示了一个可靠的多模型,其中拖曳的流媒体数据覆盖范围与OBC的数据覆盖范围相匹配。同时,GDWD产生了一个补充模型,覆盖了之前的大多数弱点,从而形成了一个健壮的组合模型。
Multiple attenuation techniques on OBC survey in Campos basin
Multiple attenuation is one of the biggest challenges in the seismic signal processing workflow in Campos basin. This comes from the seafloor depth variability and multiple reservoir target levels, in both pre-salt and post-salt zones. In this scenario, the main multiples interfere with the primaries, preventing a good reservoir image. The industry standard approach for multiple prediction is the 3D surface related multiple elimination (SRME) with many good implementations on towed streamer data. In Ocean Bottom Seismic (OBS) acquisition, sources are near the surface while the receivers are deployed at the seafloor, giving two different datums in the process. This dual datum poses a problem to the use of this technique direct from the OBS data. To overcome this, the traces necessary to the prediction with SRME in the OBS data are obtained from a towed streamer data in the same area. Another effective demultiple technique is the one based on the source-side wavefield propagation of the water layer to model the related multiples as described by Kostov et al. (2015) with the Generalized Deterministic Water bottom Demultiple (GDWD). Here we show a case study in Campos Basin, offshore Brazil, where towed streamer complements ocean bottom cable (OBC) data to generate a 3D SRME multiple model and then combined with water-layer wavefield propagation model to produce an improved multiple attenuation from shallow to deep water. We look at the models and its adaptive subtraction results. The streamer-OBC 3D SRME shows a reliable multiple model where the towed streamer data coverage matches the OBC’s. Meanwhile, the GDWD produces a complementary model covering most of the previous’ weaknesses resulting in a robust combined model.