18 resultados para petroleum industry

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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Domains where knowledge representation is too complex to be described analytically and in a deterministic way is very common in the petroleum industry, particularly in the field of exploration and production. In these domains, applications of artificial intelligence techniques are very suitable, especially in cases where the preservation of corporate and technical knowledge is important. The Laboratory for Research on Artificial Intelligence Applied to Petroleum Engineering (LIAP) at Unicamp, has, during the last 10 years, dedicated research efforts to build intelligent systems in well drilling and petroleum production fields. In the following sections, recent advances in intelligent systems, under development in the research laboratory, are described. (C) 2001 Published by Elsevier B.V. B.V.

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Bit performance prediction has been a challenging problem for the petroleum industry. It is essential in cost reduction associated with well planning and drilling performance prediction, especially when rigs leasing rates tend to follow the projects-demand and barrel-price rises. A methodology to model and predict one of the drilling bit performance evaluator, the Rate of Penetration (ROP), is presented herein. As the parameters affecting the ROP are complex and their relationship not easily modeled, the application of a Neural Network is suggested. In the present work, a dynamic neural network, based on the Auto-Regressive with Extra Input Signals model, or ARX model, is used to approach the ROP modeling problem. The network was applied to a real oil offshore field data set, consisted of information from seven wells drilled with an equal-diameter bit.

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This paper describes an investigation of the hybrid PSO/ACO algorithm to classify automatically the well drilling operation stages. The method feasibility is demonstrated by its application to real mud-logging dataset. The results are compared with bio-inspired methods, and rule induction and decision tree algorithms for data mining. © 2009 Springer Berlin Heidelberg.

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Four crude oil samples from the Sergipe-Alagoas Basin, northeastern Brazil, were analyzed using full scan gas chromatography-quadrupole mass spectrometry (GC-qMS) for biomarkers, in order to correlate them using aromatic carotenoids thereby enhancing knowledge about the depositional environment of their source rocks. The geochemical parameters derived from saturated fractions of the oils show evidence of little or no biodegradation and similar thermal maturation (Ts/(Ts+Tm) for terpanes, C29 αββ/(αββ+ααα), C27, and C29 20S/(20S+20R) for steranes). Low pristane/phytane ratios and the abundance of gammacerane and β-carotane are indicative of an anoxic and saline depositional environment for the source rocks. Moreover, we identified a large range of diagenetic and catagenetic products of the aromatic carotenoid isorenieratene, including C40, C33, and C32 diaryl isoprenoids and aryl isoprenoid derivatives with short side chains and/or additional rings. These results indicate anoxia in the photic zone during the deposition of the source rocks. © 2013 The Authors.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Purpose - The purpose of the paper is to provide information on wear debris on oil and vibration analysis as predictive maintenance techniques in reducer. Design/methodology/approach - The estate of a reducer is verified by analyzing the vibration and oil conditions of a test rig under well-designed conditions utilizing some predictive variables. Findings - According to the vibration and oil analysis it is found out what it was happening into the reducer without disassembling it. Practical implications - This paper demonstrates the use of oil debris analysis and vibration analysis as a technique that enhances preventive maintenance practices. The paper helps practitioners to utilize these techniques more effectively. Originality/value - This paper gives information about two predictive maintenance techniques with a test rig. © Emerald Group Publishing Limited.

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New classes of martensitic stainless steels, with low carbon levels, have been developed aiming to meet the needs of the petroleum industry segment. However, their use has been restricted due to the fact it is a recent development and many of its properties are still under investigation. This work determines the values of initial and final temperatures for the austenitic transformation and the initial and final temperatures of martensitic formation for alloy 13Cr2Ni0,1C, by means of dilatometric tests under continuous cooling. Based on these results the optimized conditions for quench and temper heat treatments were obtained. The microstructural characterization of the alloys under coarse fusion condition was carried out by optical microscopy and the presence of delta-ferrite in the martensitic matrix was observed.

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Cuttings return analysis is an important tool to detect and prevent problems during the petroleum well drilling process. Several measurements and tools have been developed for drilling problems detection, including mud logging, PWD and downhole torque information. Cuttings flow meters were developed in the past to provide information regarding cuttings return at the shale shakers. Their use, however, significantly impact the operation including rig space issues, interferences in geological analysis besides, additional personel required. This article proposes a non intrusive system to analyze the cuttings concentration at the shale shakers, which can indicate problems during drilling process, such as landslide, the collapse of the well borehole walls. Cuttings images are acquired by a high definition camera installed above the shakers and sent to a computer coupled with a data analysis system which aims the quantification and closure of a cuttings material balance in the well surface system domain. No additional people at the rigsite are required to operate the system. Modern Artificial intelligence techniques are used for pattern recognition and data analysis. Techniques include the Optimum-Path Forest (OPF), Artificial Neural Network using Multilayer Perceptrons (ANN-MLP), Support Vector Machines (SVM) and a Bayesian Classifier (BC). Field test results conducted on offshore floating vessels are presented. Results show the robustness of the proposed system, which can be also integrated with other data to improve the efficiency of drilling problems detection. Copyright 2010, IADC/SPE Drilling Conference and Exhibition.

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Reuse of industrial and agricultural wastes as supplementary cementitious materials (SCMs) in concrete and mortar productions contribute to sustainable development. In this context, fluid catalytic cracking catalyst residue (spent FCC), a byproduct from the petroleum industry and petrol refineries, have been studied as SCM in blended Portland cement in the last years. Nevertheless, another environmental friendly alternative has been conducted in order to produce alternative binders with low CO2 emissions. The use of aluminosilicate materials in the production of alkali-activated materials (AAMs) is an ongoing research topic which can present low CO2 emissions associated. Hence, this paper studies some variables that can influence the production of AAM based on spent FCC. Specifically, the influence of SiO 2/Na2O molar ratio and the H2O/spent FCC mass ratio on the mechanical strength and microstructure are assessed. Some instrumental techniques, such as SEM, XRD, pH and electrical conductivity measurements, and MIP are performed in order to assess the microstructure of formed alkali-activated binder. Alkali activated mortars with compressive strength up to 80 MPa can be formed after curing for 3 days at 65°C. The research demonstrates the potential of spent FCC to produce alkali-activated cements and the importance of SiO2/Na2O molar ratio and the H2O/spent FCC mass ratio in optimising properties and microstructure. © 2013 Elsevier Ltd. All rights reserved.

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Pós-graduação em Ciências Biológicas (Biologia Celular e Molecular) - IBRC

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Pós-graduação em Ciências Biológicas (Biologia Celular e Molecular) - IBRC

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Foraminifera scientific studies became, historically, of your apply in relative dating of rocks, stratigraphic correlations and paleoenvironmental reconstruction. In the last decades, they have been applied on the studies of modern ecosystems, with or without antrhopic influence. Both aspects are interest of petroleum industry. Among other approaches, foraminífera are used as good indicators of the fluctuation of relative sea level. This study aimed to survey and taxonomic study of the community structure of foraminifera in surface samples of a core, 60 cm, collected in mangrove located in Itapanhaú river in Bertioga (SP).It also aims to contribute to the discussion about typical patterns of community structure of mangrove margins and provide elements for discussion on the relative sea level behavior in this area in almost modern times. It was been collected 6 samples along the core of 60 cm of length, each one 10 cm depth. They were made in laboratory and in each sample sought to find at least 100 foraminifera per ml. The species identification was made with reference specified material and collection available on IGCE-UNESPetro, Rio Claro. The community structure was studied in terms of richness, diversity and species composition and was made the results comparison from similar areas to interpret the depositional environment. Were found 21 species within them 13 calcareous and 8 binders, being the most abundant and frequent species Ammonia tepida, Ammonia parkinsoniana e Elphidium spp. Essentially there wasn’t change in the community structure within the period covered by the core which reflects an environment of outer margin of mangrove without noticeable change in relative sea level at the respective time of deposition of muddy sediments. The community structure here recognized its similar to estuarine environment well maintained which indicates a low human impact in the area over the time interval. The agreement of the results...

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The petrochemical industry represents a sector of intense activity, in constant expansion and great economic importance for Brazil. In order to be used in various human activities petroleum needs to suffer a refinement process that, besides requiring large amounts of water, produces large amounts of wastes, which are discharged in hydric resources. Petroleum is a complex mixture mainly comprised by hydrocarbons, many of them are recognized as toxic chemicals, which are able to induce a considerable environmental pollution. Since water is an important resource for the maintenance of ecosystems and is also the final receiver of effluent discharges of the petroleum industry, there is an imminent need to monitor, constantly, the hydric resources that are influenced by this industrial activity, so that it can be ensured the environmental health. This study aimed, mainly, to analyze the quality of water samples derived from refinement process performed of the largest petroleum refinery in Brazil (REPLAN), in distinct steps of the industry treatment, and waters of rivers associated to its activity. Micronuclei and Nuclear Abnormalities tests were performed in erythrocytes of the fish species Oreochromis niloticus exposed to water samples derived from refinery use and to rivers under the influence of their effluents, in order to evaluate its possible toxic, genotoxic and mutagenic effects. The results obtained show that the treatment carried out by the refinery, during the evaluated periods, was effective, since the substances present in the water samples did not induce significant genotoxic and/or mutagenic alterations in the genetic material of the test organisms. On the other hand, when the substances present in the refinery effluent mix with the ones derived from other industrial activities developed upstream of this industry, the resultant compound, in some periods, presented genotoxic potencial, characterized by a rise of erythrocytic...

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This research aims to discuss the division of royalties from a legal perspective and its substitute role towards the non-taxation at source, in other words the taxation of destiny at the Brazilian petroleum industry. The analysis aims to deal with the historical evolution in relation to the aspect of royalties’ payment and its deviation of compensatory character in order to supply the ICMS function. There are some specific study objects in this research: 1. how the transformation of royalties’ payment led to financial compensation; 2. to whom the transference of mineral rent belongs – to the UNIÃO or to the fortunate regions which the oil is extracted; 3. would a tax reform be enough to minimize the competition of States and Cities towards the royalties? The research aims to clarify the real expectation that States have on the royalties’ payment. There is no compensation for damage to the environment as it is stated by the initial characteristic of the Constitution, and, by the contrast, from a compensatory character, there is a lacking of taxation from the sector mentioned before, this fact damages the producing states checked out by this research