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Fourth HGS/EAGE Conference on Latin America
- Conference date: September 14-16, 2022
- Location: Cartagena, Colombia
- Published: 14 September 2022
1 - 20 of 27 results
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Assessing the Pre-Neogene Play of the Tobago Trough
More LessAuthors T. Hansen and Y. BalabekovSummaryThe Tobago Trough is a fore-arc basin positioned north of the island of Tobago. Although a frontier basin, existing discoveries adjacent to the Tobago Trough have targeted shallow biogenic/thermogenic gas and condensate accumulations in the Neogene. However, this study demonstrates a deeper, untested play in the pre-Neogene, below the Mid-Miocene unconformity of the Tobago Trough. This play incorporates the Late Cretaceous source interval – a prolific oil-prone source proven in neighboring basins, including Guyana-Suriname.
Areas of interest for the AVO analysis were identified during interpretation of the seismic data. Favorable clastic and carbonate facies were delineated as potential exploration targets, which combine petroleum system elements proven in neighboring basins. The AVO signatures were validated using existing nearby dry wells and gas discoveries (Orchid, Iris and Sancoche) to improve the accuracy of the results and de-risk the leads.
Several leads and features have been identified within the Tobago Trough, estimated to range from Late Cretaceous – Pliocene, displaying similar responses to the nearby gas discoveries. Additionally, some AVO results below the Mid Miocene unconformity show a different signature to the typical local gas response, further supporting the model for potential oil-prone thermogenic source rocks ( Schneider et al., 2012 ).
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3D Modeling of Saturation and Depletion of Fluids for the Oriente Basin of Ecuador Block 54
More LessSummaryThe conventional petrophysical computation for the Cretaceous reservoirs in Oriente Basin of Ecuador presents, in some cases, high uncertainty in two of the main fluid properties, water saturation (Sw) and permeability. The reason for this is because there is not a quantitative understanding of glauconite and kaolinite present in the reservoir rocks. The ferric cation in glauconite decreases resistivity, and the presence of both, especially kaolinite, reduces porosity and thus permeability.
A new methodology to obtain a second view of these two fluid properties, plus depletion, has resulted in the generation of a 3D model based on the integration of Mudlogging mud gas data (converted from qualitative to quantitative) and production data. Mud gas data from 20 wells of Block 54 were collected and processed, and these results were integrated with 33 production tests.
The 3D model was tested later, in real time, for a new well in the study block. The Basal Tena sandstone was the primary target, and the Upper Hollin was a secondary one. The 3D model fluid properties matched with the petrophysical results in the Basal Tena but not in the Upper Hollín. Production tests showed both targets matching 100% with the 3D model.
This article presents the implemented methodology, data processing, 3D model generation, and the results of its application.
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Multi-Objective Function FWI Workflow, a Case History in the Gulf of Mexico
More LessAuthors J. Perdomo, A. Pavlovskaya, N. Brand and M. HegazySummaryThe current focus in the US Gulf of Mexico (GoM) for seismic acquisition is sparse ocean-bottom nodes (OBN) acquisition as this enables acquisition of long-offset data (∼40 km). However, there is an existing and substantial coverage of wide-azimuth (WAZ) and full-azimuth (FAZ) towed-streamer datasets in the deep water GoM. Recent advancements in full-waveform inversion (FWI) and signal processing technology are used to revitalize existing data in a time- and cost-efficient way that fits budget and drilling plans. This paper shows a successful northern GoM example, for which FWI and broadband imaging implemented on WAZ and FAZ data, achieved a substantial imaging uplift in terms of structural and subsalt imaging improvements when compared against the legacy processing. The key to this imaging uplift is the use of a different objective function FWI frequency band workflow that is also introduced in this paper and takes full advantage of the long-offset (∼14.3 km) FAZ data.
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Seismic Source Recovery Algorithm via Internal Learning in the Cross-spread Domain
More LessAuthors S. Rivera, I. Ortiz, T. Gelvez-Barrera, L. Galvis and H. ArguelloSummarySeismic imaging requires a dense configuration of receivers and sources to obtain high-quality interpretable data for hydrocarbon exploration. Nonetheless, economic and environmental conditions commonly limit the number of sources. Current seismic data acquisition methods focus on computationally reconstructing or interpolating missing sources, reducing the costs. However, most works are based on sparse optimization, where the quality depends on the sparsity level, or on deep learning, where the limited availability of training data also limit the training process. Therefore, this work proposes an internal learning framework for reconstructing missing sources, addressing the lack of training data issue. Simulations show that the proposed approach outperforms state-of-the-art methods with gains of up to 12 dB in the PSNR and 11 dB in SNR metrics.
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Búzios Field, Offshore Brazil: The Journey from Reservoir Characterization to Production Development
More LessAuthors F. Brazil, J.C. Guerrero, R.K. Carvalho, C.M.D.A. Silva, A.M.C. Moliterno, C.H. Vieira Araújo, G.F. Barbosa, A.A. Yamato, A.S.M. Cacela, CD.O.N. Leite, N.P. Rocha, V.C.B.D. Oliveira, M.T.R. Campos, V.G.M.D. Rocha e Silva, H.O.H. Natori, F.P. Lima, D.L.D. Oliveira, L.E.S. Queiroz and L.B.D. SouzaSummaryThe Búzios field, discovered in 2010, is located at 180 km offshore Rio de Janeiro, Brazil, South Atlantic margin. It is the world’s largest ultra-deepwater oil field currently in development, which production started in 2018. The reservoirs are carbonate rocks of lacustrine origin (Aptian age), deposited during the rifting and opening of the Santos Basin and comprise the Itapema and Barra Velha Formations.
This work has the aim to register the knowledge of Petrobras teamwork applied from discovery to production development of the Búzios reservoirs. The geocellular model of this reservoir incorporates the results of the high-resolution seismic data (Nodes) interpretation, passing through sedimentologic and stratigraphic characterizations, diagenetic approaches, and extra-matrix contributions. This model was upscaled to build a numerical model of the deposit with the best economical drainage plain strategy, thus, maximizing production performance.
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