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Stochastic seismic inversion and Bayesian facies classification applied to porosity modeling and igneous rock identification

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Petroleum Science 2024年第2期21卷 918-935页

作者： f.bio júnior damasceno f.rnandes Leonardo Teixeira Antonio fernando Menezes freire Wagner Moreira Lupinacci Exploratory Interpretation and Reservoir Characterization Group(GIECAR) Department of Geology and GeophysicsFederal Fluminense UniversityNiter oiRJ24210-346Brazil Petrobras Rio de JaneiroRJ20231-030Brazil National Institute of Science and Technology of Petroleum Geophysics(INCT-GP/CNPQ) Niter oiRJ24210-346Brazil

We apply stochastic seismic inversion and Bayesian facies classification for porosity modeling and igneous rock identification in the presalt interval of the Santos Basin. This integration of seismic and well-derived information enhances reservoir characterization. Stochastic inversion and Bayesian classification are powerful tools because they permit addressing the uncertainties in the model. We used the ES-MDA algorithm to achieve the realizations equivalent to the percentiles P10, P50, and P90 of acoustic impedance, a novel method for acoustic inversion in presalt. The facies were divided into five: reservoir 1,reservoir 2, tight carbonates, clayey rocks, and igneous rocks. To deal with the overlaps in acoustic impedance values of facies, we included geological information using a priori probability, indicating that structural highs are reservoir-dominated. To illustrate our approach, we conducted porosity modeling using facies-related rock-physics models for rock-physics inversion in an area with a well drilled in a coquina bank and evaluated the thickness and extension of an igneous intrusion near the carbonate-salt interface. The modeled porosity and the classified seismic facies are in good agreement with the ones observed in the wells. Notably, the coquinas bank presents an improvement in the porosity towards the top. The a priori probability model was crucial for limiting the clayey rocks to the structural lows. In Well B, the hit rate of the igneous rock in the three scenarios is higher than 60%, showing an excellent thickness-prediction capability.

关键词： Stochastic inversion Bayesian classification Porosity modeling Carbonate reservoirs Igneous rocks

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Aquatic Phoretic Mites (Acari: Hydrachnidia) Associated with Ectoparasitism of Mosquitoes (Diptera: Culicidae) in the Midwest Region of Brazil

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Advances in Entomology 2016年第3期4卷 141-150页

作者： f.bio Alexandre Leal dos Santos Sirlei frank Thies Aldimara Vaillant Gonçalves Klaucia Rodrigues Vasconcelos Monaly da Silva Ribeiro junio de Souza damasceno Elisangela Santana de Oliveira Dantas Diniz Pereira Leite júnior Medical Entomology Laboratory Faculty of Medicine Federal University of Mato Grosso UFMT Cuiabá Brazil University Center of Várzea Grande (UNIVAG) Cristo Rei Várzea Grande Brazil Pontifical Catholic University of Minas Gerais Postgraduate Program in Vertebrate Biology Conservation Genetics Laboratory Belo Horizonte Brazil University Center of Belo Horizonte Institute of Engineering and Technology (IET) Belo Horizonte Brazil Laboratory of Investigation Faculty of Medicine Federal University of Mato Grosso UFMT Cuiabá Brazil

Water mites (Hydrachnidia) are common external parasites of the medically important mosquitoes (Culicidae). Between April 2014 and April 2015, 64 mites from three genus, Arrenurus 71.9%, Limnochares 3.1%, and Hydrachna 25.0%, were collected from female mosquitoes in two rural locations near Cuiabá, Mato Grosso, Brazil. Dipterous species parasitized by water mites belonging to seven species: Anopheles (Nys.) darling, An. evansae, Aedes (Och.) scapularis, Ae. serratus, Mansonia (Man.) wilsoni, Psorophora (jan.) ferox, Ps. varipes. The most common specimens to accommodate the water mites were Anopheles (Nys.) darlingi and Psorophora (jan.) varipes. The prevalence of parasitism of mosquitoes by water mites found in this study was less than 5. However, few studies have addressed the ecological role of mites and their biotopes, as well as host-parasite interactions in Brazil.

关键词： Ectoparasitism Hydracarina Culicidae Mites

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Data Analysis of Multiplex Sequencing at SOLiD Platform:A Probabilistic Approach to Characterization and Reliability Increase

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American journal of Molecular biology 2018年第1期8卷 26-38页

作者： f.bio Manoel franca Lobato Carlos Diego damasceno Daniela Soares Leite Andrea Kelly Ribeiro-dos-Santos Sylvain Darnet Carlos Renato francês Nandamudi Lankalapalli Vijaykumar Adamo Lima de Santana Engineering and Geoscience Institute Federal University of Western Pará (UFOPa) Santarém Brazil Technological Institute Federal University of Pará (UFPa) Belém Brazil Institute of Mathematical and Computer Sciences University of Sao Paulo (USP) Sao Carlos Brazil Department of Morphology and Physiological Sciences State University of Pará Marabá Brazil biological Science Institute Federal University of Pará (UFPa) Belém Brazil Laboratory of Computing and Applied Mathematics National Institute for Space Research (INPE) Sao José Dos Campos Brazil

New sequencing technologies such as Illumina/Solexa, SOLiD/ABI, and 454/Roche, revolutionized the biological researches. In this context, the SOLiD platform has a particular sequencing type, known as multiplex run, which enables the sequencing of several samples in a single run. It implies in cost reduction and simplifies the analysis of related samples. Meanwhile, this sequencing type requires an additional filtering step to ensure the reliability of the results. Thus, we propose in this paper a probabilistic model which considers the intrinsic characteristics of each sequencing to characterize multiplex runs and filter low-quality data, increasing the data analysis reliability of multiplex sequencing performed on SOLiD. The results show that the proposed model proves to be satisfactory due to: 1) identification of faults in the sequencing process;2) adaptation and development of new protocols for sample preparation;3) the assignment of a degree of confidence to the data generated;and 4) guiding a filtering process, without discarding useful sequences in an arbitrary manner.

关键词： Probabilistic Modeling Health Informatics SOLiD Barcoding System Statistical Analysis Multiplex Sequencing

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