{"id":125472,"date":"2012-08-22T10:35:05","date_gmt":"2012-08-22T13:35:05","guid":{"rendered":"http:\/\/revistapesquisa.fapesp.br\/?p=125472"},"modified":"2015-12-07T17:04:00","modified_gmt":"2015-12-07T19:04:00","slug":"refined-methods","status":"publish","type":"post","link":"https:\/\/revistapesquisa.fapesp.br\/en\/refined-methods\/","title":{"rendered":"Refined Methods"},"content":{"rendered":"
\"The

RICARDO AZOURY\/PULSAR<\/span>The Duque de Caxias refinery in Rio de Janeiro is one of the Petrobras units that uses the new software RICARDO AZOURY\/PULSAR<\/span><\/p><\/div>\n

A collaboration between Brazil\u2019s biggest company, Petrobras, and the University of S\u00e3o Paulo (USP) and State University of Campinas (Unicamp) that began more than 15 years ago is still bearing fruit. A software solution that can process data in sequence, using several computers, to analyze the history of the behavior of aging reservoirs of oil and gas is one of the results. Other results are the creation of a research group in the field of numeric simulation and petroleum reservoir management, and the establishment of a center of excellence in industrial automation.<\/p>\n

Two projects were launched at first \u2013 one at Unicamp and the other at USP, both supported by FAPESP\u2019s Partnership for Technological Innovation (PITE), one in 1996, and the other in 1997. Both were implemented in partnership with Petrobras. Denis Jos\u00e9 Schiozer, a professor at Unicamp\u2019s School of Mechanical Engineering (FEM), says that his team was asked to find a way to distribute simulations of reservoirs among networks of machines for a specific application. This involves calibration of numerical models used to forecast oil production, a task that takes a lot of time and a huge computational effort. \u201cThis is done often today, and on clusters of computers, but at the time it was a new concept,\u201d he says. \u201cWe developed software that has evolved ever since and is used today by both us and by Petrobras.\u201d<\/p>\n

Schiozer says that the numerical models created to forecast oil production contain many uncertainties, since so many of the variables of the reservoirs, such as the properties of rocks and fluids, are unknown. \u201cThat is why the engineers, geologists, and geophysicists make the initial model and then, as the reservoir continues to produce, calibrate that model in order to reproduce the true response,\u201d he said. \u201cThis gives us a more reliable prediction of production and takes less time. It used to take us as long as six months to make the extraction forecasts. With the new system, it takes only a few weeks.\u201d<\/p>\n

The work at the chemical engineering department of USP\u2019s Polytechnical School (Poli) resulted in a program used to optimize production at Petrobras\u2019s oil refineries. \u201cThe objective was to obtain the highest production levels possible, but at lower cost,\u201d says Claudio Oller do Nascimento, project coordinator. \u201cThe program we developed enabled us to perform an integrated optimization of all the processes and operations involved in oil refining.\u201d<\/p>\n

The USP software has updated and improved the Petrobras Advanced Control System (Sicon). The practical result has been an additional gain of US$0.25 per barrel of refined petroleum.<\/p>\n

Today, the total value of this gain, at the company\u2019s 11 refineries in Brazil and four in other countries, amounts to US$80 million a year. This happens because the computer program optimizes refinery operations and makes it possible to extract the more important derivatives – the ones that have a higher value-added – from the crude oil.<\/p>\n

Long-standing Collaboration<\/strong>
\nThe relationship between USP and Petrobras began back in 1988. \u201cIn just three years,\u201d Nascimento recalls, \u201cwe trained 42 engineers in refinery automation.\u201d These were Petrobras employees who set aside two days every week to study at Poli\u2019s chemistry department. The 1997 PITE project evolved in 2000 into the establishment of the Center of Excellence for Applied Industrial Automation Technology (Cetai), under a cooperation agreement between the company and the Foundation for Support of the University of S\u00e3o Paulo (FUSP). The center occupies 225 sq. meters of space inside the Poli chemical engineering department. One of its main objectives is to transform research and development into technology that can be used to optimize petroleum refining.<\/p>\n

Cetai brings together several divisions of Petrobras to participate in industrial automation research, development, and educational activities. \u201cTogether with USP, we have organized courses to train specialists in optimization and the creation of new predictive control algorithms,\u201d says Antonio Carlos Zanin, senior consultant to Cetai and a Petrobras employee for 29 years. The technologies developed at the center seek to improve the productivity and profitability of the company\u2019s industrial processes by using advanced process engineering and automation tools.<\/p>\n

Cetai operates as a virtual refinery, and simulates the functioning of a real industrial unit. \u201cWe have developed several types of mathematic models, with varying degrees of complexity. They are continually adjusted to represent the behavior of Petrobras refineries, evaluate their performance, predict the future trajectory, and determine the best options for their operational parameters and conditions,\u201d Zanin explains.<\/p>\n

For Unicamp, one of the benefits of working with the company has been the establishment of Unisim, a research group that celebrated its 15 year anniversary in 2011 and has worked with Petrobras to develop several simulation models to more reliably predict oil production. According to Unicamp\u2019s Schiozer, coordinator of Unisim, the most common applications are methodologies used to adjust production strategies and evaluate the risks associated with different levels of profitability.<\/p>\n

\u201cThe results of the initial investment were so positive that Petrobras has been financing our research group for 15 years and we have just signed a new agreement for four more years,\u201d says Schiozer proudly.<\/p>\n

Projects<\/strong>
\n1<\/strong>. Using parallelization to determine the history of production at a network of stations using PVM (Parallel Virtual Machine) (n\u00ba 1995\/03942-7<\/a>) (1996-1999);\u00a0Grant mechanism <\/strong>Partnership for Technological Innovation (PITE);\u00a0Coordinators\u00a0<\/strong>\u00a0Denis Jos\u00e9 Schiozer \u2013 School of Mechanical Engineering (FEM), Unicamp;\u00a0Investment\u00a0<\/strong>R$184,667.97 (FAPESP) and R$261,000 (Petrobras).
\n2.<\/strong> Development of integrated optimization of the units of a petroleum refinery (n\u00ba 1996\/02444-6<\/a>) (1997-2001).\u00a0Grant mechanism <\/strong>\u00a0Partnership for Technological Innovation (PITE)\u00a0Coordinators\u00a0<\/strong>Cl\u00e1udio Augusto Oller do Nascimento \u2013 Polytechnical School, USP \u00a0Investment<\/strong>\u00a0R$266,786.21 (FAPESP) and R$573,000 (Petrobras).<\/p>\n

From our archives<\/strong>
\nThe benefits of a partnership<\/em><\/a> – Issue 58 \u2013 October 2000
\nUnicamp and Petrobras develop software to monitor reservoirs<\/em> – Issue 51 \u2013 March 2000
\nPetrobras\u2019s technological breakthrough<\/em> – Issue 37 \u2013 November 1998<\/p>\n","protected":false},"excerpt":{"rendered":"A computer program helps to improve refinery production","protected":false},"author":20,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[1242],"tags":[219,227],"coauthors":[112],"class_list":["post-125472","post","type-post","status-publish","format-standard","hentry","category-technology-special-2","tag-computation","tag-energy"],"acf":[],"_links":{"self":[{"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/posts\/125472","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/comments?post=125472"}],"version-history":[{"count":0,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/posts\/125472\/revisions"}],"wp:attachment":[{"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/media?parent=125472"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/categories?post=125472"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/tags?post=125472"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/revistapesquisa.fapesp.br\/en\/wp-json\/wp\/v2\/coauthors?post=125472"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}