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    INTRODUCTION

    The industrial branch of the oil refining is subjected to several constraints which oblige it

    to modify its orientations of production. Indeed, the quality requirements for the finishedproducts are increasingly severe and the types of crude oil are more and more varied. The

    processes of refining does not always permit to reach the required quality standards, in

    particular for the gasoline and the gas oils. The complexity of theses refining processes and the

    several parameters entering in line of account are a problem for the refiner in the forecast of its

    production. He have to satisfy the specifications of the customer while taking into account the

    design of its installations and the choice of the crude oil, here is the compromise to which it

    must face. Need for coordinating all information relating to the processes, the results obtained,and the conclusions drawn for the process of a given crude; to have them in desired moment

    and use them as tools of decision-making aid proves more than essential.

    How to store and organize in an exploitable way all the parameters and specifications governing

    the crudes treated at the SIR, their transformation and the products obtained? How to exploit

    these data and to make them a useful base of knowledge to all new processing? All things

    considered, we were brought to reflect on how to use the data-processing tools, to help the

    refiner in the management of its information, and especially in the follow-up and the

    adjustment of its production units.

    We will present in the first part the SIR, the topic of our study and the environment of work in

    which we have composed. In the second part, we will expose on the approach chosen to study

    our topic. The last part will be devoted to the presentation of our results.

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    PART 1

    GENERALITIES

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    Chapter 1: INTRODUCTION OF THE SIR

    1.1 History

    The Company of Refining of Cte dIvoire is a limited company with the capital of 39

    billion CFA. It was created on October 03, 1962 by the government of the Cte dIvoire with the

    assistance of oil groups which had taken part in the distribution of the products derived from oil

    and in search of the crude in Cte dIvoire. Opened in August 1965, the SIR extended on a

    surface from 40 hectares (ha) and had an initial capacity of processing of the crude oil of seven

    hundred and thousand (700.000) tons by year for needs estimated at four hundred and

    thousand (400 000) tons.

    Today, with a capacity of more than three million eight hundred miles tons a year (3.800.000

    tons/year) of the crude oil and a surface of 80 ha, the SIR is the first industrial firm of

    Cte d'Ivoire.

    1.2 Structure and Administrative organization

    The administration of the SIR is hierarchically defines as follows: the Board of directors

    chaired by Mr. Laurent OTTRO Zirignon, the committees Technique, Commercial and Financial

    and Directorate-General with Mr. DERVAIN Joel at his head. The December 16th

    2008, the

    personnel of the SIR was 687 agents including 116 frameworks, 440 supervisors and 131

    workmen (employed) left again in five (5) direction in addition to the general direction. They

    are:

    y Technical management;y

    The management Maintenance;y Commercial and Economic management ;y The Financial Management;y Management of Human Resources and Administration.

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    1.3 Activities of the SIR

    The essential activity of the SIR is the refining of the crude oil. Crude oil is processed and

    refined into more useful petroleum products, such as gasoline, diesel fuel, asphalt base, heating

    oil, kerosene, and liquefied petroleum gas. The crudes used by the SIR comes from Nigeria

    (FORCADOS, BONGA, ANTAN, BONNY LIGHT, ESCRAVOS, OBE, ERHA, ABO), from Cte d'Ivoire

    (BAOBAB TREE, LION, HOPE) and from Cameroon (EBOME).

    The main commercial products of the SIR are:

    y Butane for domestic use;y Super without lead (carburizing for cars);y

    Paraffin oil (for lighting);y Jet A1 (for aviation);y Gas oil and Diesel Distillate Oil (DDO) for the furnaces and diesel engine;y Vacuum Gas oil (VGO) / Heavy Vacuum Oil (HVO) for the gas turbines;y Fuel oil for the power stations and ships.

    Chapter2:THE UNITS U81 AND U85

    In this chapter, it will be a question of presenting the units on which are based our study.

    2.1The First heat exchangers series

    It is the first step in the refining process. Crude oil is heated through a series of four (4)

    exchangers. An exchanger allows the heat transfer between two fluids. In the U81s case, the

    crude oil receive heat from the others steams.

    2.2 The Desalter

    Desalter unit washes out salt from the crude oil before it enters the atmospheric

    distillation unit. The salt is dissolved in the water in the crude oil, not in the crude oil itself.

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    In a crude oil refining process for producing gasoline and other hydrocarbon-containing

    products, a crude oil feedstock is cracked in a reactor in the presence of a catalyst. Generally a

    crude oil contains many impurities that are detrimental to not only the refining operation but

    also the refined products. Salts, mainly metal salts including metal halides such as magnesium

    chloride, sodium chloride, and calcium chloride, and other metals salts, are among these

    impurities. It is well known that salts contribute to corrosion of refinery equipment such as the

    fractionators, to decreased heat transfer efficiency due to fouling of heat exchangers and coking

    of furnaces, and to catalyst poisoning.

    Crude oil desalting is carried out by adding water to a crude oil to form an oil-water mixture.

    The oil-water mixture is then heated at about 120 C and under a sufficient pressure to prevent

    evaporation of water or crude oil. A portion of the salts are now dissolved in water. Upon

    heating, water and oil phases are formed and separated by using emulsion-breaking chemicals

    or demulsifiers, and developing a high-potential electric field to coalesce or polarize the water

    droplets. The water phase is then removed and the oil phase is pumped further downstream

    through a series of heat exchangers for refining operation.

    2.3 The secondheat exchangers series

    As the first, the second heat exchanger series is charged to heat crude oil. This step permits to

    reduce the furnace duty.

    2.4 The furnace

    81F01 is an industrial furnace or direct fired heater. It is equipment used to provide heat

    before the atmospheric distillation process.

    Fuel Oil flows into the burners and is burnt with air provided from an air blower. The flames

    heat up the tubes, which in turn heat the desalted oil inside in the first part of the furnace

    known as the radiant section or firebox. In this chamber where combustion takes place, the

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    heat is transferred mainly by radiation to tubes around the fire in the chamber. The heating

    fluid passes through the tubes and is thus heated to the desired temperature (about 375 C).

    2.5 The Atmospheric distillation unit

    Atmospheric distillation unit distills crude oil into fractions. It is the most important step in the

    refining process. The various components of crude oil have different sizes, weights and boiling

    temperatures. Because they have different boiling temperatures, they can be separated easily

    by atmospheric distillation process. The steps of this distillation are as follows:

    1.The crude oil is heated to a high temperature. Heating is done with high pressure steamto temperatures of about 600 degrees Celsius.

    2.The mixture boils, forming vapor (gases); most substances go into the vapor phase.3.The vapor enters the bottom of a long column (81C01) that is filled with trays or plates.

    yThe trays have many holes or bubble caps in them to allow the vapor to passthrough.

    yThe trays increase the contact time between the vapor and the liquids in thecolumn.

    yThe trays help to collect liquids that form at various heights in the column.yThere is a temperature difference across the column (hot at the bottom, cool at

    the top).

    4.The vapor rises in the column.5.As the vapor rises through the trays in the column, it cools.6.When a substance in the vapor reaches a height where the temperature of the column isequal to that substance's boiling point, it will condense to form a liquid. (The substance

    with the lowest boiling point will condense at the highest point in the column; substances

    with higher boiling points will condense lower in the column.).

    7.The trays collect the various liquid fractions.8.The collected liquid fractions may:

    y pass to condensers, which cool them further, and then go to storage tanksy go to other areas for further chemical processing

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    2.6 The Vacuum distillation Unit

    Vacuum distillation unit further distills residual bottoms after atmospheric distillation. It

    increases the relative volatility of the key components in many applications. The higher the

    relative volatility, the more separable are the two components; this connotes fewer stages in a

    distillation column in order to effect the same separation between the overhead and bottoms

    products. Lower pressures increase relative volatilities in most systems.

    Chapter 3: GUIDELINES

    3.1 Context and Heading of the topic

    Each unit of a refinery plant has a specific charge to treat. The atmospheric distillation unit

    U81 treats crudes of various qualities. The feed to be treated can be a mixture of several

    crudes. The unit of vacuum distillation U85 as for it treats the atmospheric residue coming from

    the units of atmospheric distillations U81 and U31.

    For each type of feed the settings parameters of the units have to be regulated in a specific

    way. It happens that for a feed to be treated, it is difficult to find the operational parameters

    which had been fixed, as well as the results obtained to apply them to the present case. So, in

    order to have easily settings parameters and to find optimal parameters for a good output, it

    was proposed to us the following topic: IMPLEMENTATION OF A DATA-PROCESSING GUIDE OF

    ADJUSTMENTS FOR THE ATMOSPHERIC (U81) AND VACUUM (U85) DISTILLATION UNITS.

    3.2 Interest of the topic

    For the follow-up and optimization, a good implementation of the project will allow:

    yto facilitate the access at the settings data of the units;yto follow the quality of the production;yto guide easily towards an adequate adjustment;yto know the optimal settings parameters for an Ordonancemment specification given;

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    yto centralize and use all knowledge relating to the adjustments of the units;yto create an evolutionary and increasingly reliable knowledge database.

    NB: Ordonancement is the structure charged to fixe the required product specifications.

    3.3 Specifications

    The specifications are summarized in the design and the creation of an application integrating

    the following aspects:

    Tool of storage and reaction of the units:y

    Integration of a database recalling all the process of U81 setting parameters ofthe crude treatments.

    y Possibility of knowing the parameters on any level of the process, for a crudealready treated.

    Tool of decision-making aid:y Historization of the adjustments applied on the units, with possibility to add inorder to make an exploitable base of knowledge of it.

    y Capacity to find the optimal parameters for a given crude while basing itself onthe former data;

    y Possibility of enriching the base by including new data.

    Ergonomic and simple tool for use:y simple and ergonomic Interface intended for an easy use;y graphic Presentation of units allowing to see or edit easily their parameters;y access limited to the authorized person from any computer on the SIRs network.

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    PART 2

    MATERIAL AND METHODS

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    Chapter 1: MATERIAL

    We are going to quote here all the materiel which we have used for the achievement of our

    work.

    1.1 Documentation of the SIR

    The SIR has a great number of documents informing about its installations and its

    processes.

    1.1.1 CAD Diagrams

    Drawings computer-assisted (CAD) diagrams enabled us to have a detailed sight on the running

    of the installations.

    1.1.2 Books of statements

    These books inform about the daily operations of the units. They are the books of board

    operators, external operators and the head operator.

    The board operators collect from a control room the parameters and operating

    conditions of the installations. The external measures are taken for the equipments which the

    data cannot be dispatched in control room. The Head operator makes the synthesis of these

    two books by adding to it the remarks relating to the quality of the operations of the units.

    1.2 Technical and data-processing tools

    1.2.1 Microsoft Office

    Three (3) Microsoft Office applications helped us in the achievement of our study:

    y the Relational database Management System, Access for the database,y the spreadsheet Excel for calculationsy the text editor Word for the drafting.

    1.2.2 Data Processing tools

    The development of the application was made mainly with ASP (Active Server Page) and

    Adobe Flash. ASP is a server language based on VBScript (Visual BASIC Script); it allows the

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    communication with the data base. The user interface as for it was designed in Action Script 2,

    the internal programming language of the software Adobe Flash.

    1.2.2.1 ASP

    Active Server Pages (ASP) was Microsoft's first server-side script engine for dynamically-

    generated web pages. Most ASP pages are written in VBScript, but any other Active Scripting

    engine can be selected instead by using the @Language directive or the syntax. JScript is the other language that is usually

    available. PerlScript (a derivative of Perl) and others are available as third-party installable

    Active Scripting engines. We have used VBscript for our work.

    1.2.2.2 FLASH

    Adobe Flash (formerly Macromedia Flash) is a multimedia platform that is popular for

    adding animation and interactivity to web pages. Originally acquired by Macromedia, Flash was

    introduced in 1996, and is currently developed and distributed by Adobe Systems.

    Flash is commonly used to create animation, advertisements, and various web page Flash

    components, to integrate video into web pages, and more recently, to develop rich Internet

    applications. Flash can manipulate vector and raster graphics, and supports bidirectional

    streaming of audio and video. It contains a scripting language called ActionScript. Several

    software products, systems, and devices are able to create or display Flash content, including

    Adobe Flash Player, which is available free for most common web browsers, some mobile

    phones and for other electronic devices (using Flash Lite).

    We have used Flash in order to add interactivity in our software.

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    Chapter2: METHODS

    2.1 Selection of the parameters

    Several parameters govern the processing of a feed. Information on the state of the

    processes mainly the flow rate, the pressure, the level and the temperature are measured by

    sensors then transmitted to the control room by cables or optical fibres.

    A sensor is a device that measures a physical quantity and converts it into a signal which can be

    read by an observer or by an instrument. For example, a mercury-in-glass thermometer

    converts the measured temperature into expansion and contraction of a liquid which can be

    read on a calibrated glass tube. A thermocouple converts temperature to an output voltage

    which can be read by a voltmeter.

    The sensors are the basic elements of data acquisition systems and the regulation loop

    functions. The SIR has more than 3000 sensors on theses installations including approximately

    500 on U81. The installation of a database of settings for all these data is surely not the optimal

    solution. Indeed several of these data are bound and only a few tens of them influence the

    process significantly. We are going to present the factors retained after sifting and the reasons

    of these choices in part 3 (the results). It should be noted that our selection was made on the

    basis of analysis of the process.

    2.2 Construction of the data base

    The construction of the data base was a complex task which utilized the whole of the

    organization that we should set up. The design step required methods making it possible to set

    up the model on which we would based. Modelling consisted in creating a virtualrepresentation of a reality in order to emphasize the points which interested us.

    There are several methods of analysis to conceive an information system. There are inter alia

    AXIAL, RACINE, MERISE, UML...

    We have used MERISE for our study.

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    2.2.1 MERISE

    MERISE is a general-purpose modeling methodology in the field of information systems

    development, software engineering and project management. First introduced in the early

    1980s, it was widely used in France, and was developed and refined to the point where most

    large French governmental, commercial and industrial organizations had adopted it as their

    standard methodology.

    MERISE proceeds to separate treatment of data and processes, where the data view is modeled

    in three stages - from conceptual, and logical, through to physical. Similarly, the process-

    oriented view passes through the three stages of conceptual, organizational and operational.

    These stages in the modeling process are paralleled by the stages of the life cycle: strategic

    planning, preliminary study, detailed study, development, implementation and maintenance.

    2.3 Data analyses and Processing

    After having modelized the structure of information, we have modelized their

    processing. One speaks then about conceptual model of processing. Several concepts are taken

    into account in the construction of this model. They are the events, the operations,

    synchronizations of operations, the processes and the diagram of flows. In order to be concise,

    we shall make case only of operations or processing.

    For the data processing, we had recourse to statistical methods of Data

    Mining.

    2.4 Data Mining

    Data mining is the process of extracting patterns from data. Data mining is becoming an

    increasingly important tool to transform this data into information. The mining process will be

    ineffective if the samples are not a good representation of the larger body of data. We have

    used data mining methods in order to find the optimal processes parameters.

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    2.5 Communication with the data base (picture 1)

    The user sends a request to the database via an user interface. Behind, the interface

    transmits this request to the server. A transcriber of requests, ASP in our case, is charged of

    translating the request into a comprehensible language by the data bases. Generally, it is SQL

    (Structured Query Language). After which ASP recovers the response of the request in the

    database which it forwards to the user interface. It is by this process that we give to the user

    access to the data of the data base Access.

    Picture 1: Communication between user and databases

    2.6 Client-Server Architecture (picture 2)

    Client-server computing or networking is a distributed application architecture that

    partitions tasks or work loads between service providers (servers) and service requesters, called

    clients. Often clients and servers operate over a computer network on separate hardware. A

    server machine is a high-performance host that is running one or more server programs which

    share its resources with clients. A client does not share any of its resources, but requests a

    server's content or service function. Clients therefore initiate communication sessions with

    servers which await incoming requests.

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    Characteristics of a server:

    y it is initially passive (or slave, on standby of a request);y it is with listening, ready to answer the requests sent by client;y as soon as a request reaches him, it treats it and sends an answer.y Characteristics of a client:y it is active the first (or Master);y it sends requests to the server;y it awaits and receives the answers of the server.

    We have chosen such a method so that the software can be used simultaneously by

    several users. So it would be accessible starting from any computer located in SIRs network

    without need for preliminary installation. Moreover, it would offer a flexible mode of

    maintenance. Indeed, all the operations of maintenance would be made only on the server.

    SERVER

    Picture 2: Client Server Model

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    Part 3

    RESULTS

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    Chapter 1: SELECTED PARAMETERS

    Following our analysis of the factors, this is the parameters retained on each stage of the

    process and reasons of these choices.

    1.1 The state of the charge

    Only the feed flow rate was retained, considering the inlet temperature varies very little

    (ambient temperature) from a charge to another. The knowledge of the feed flow rate enables

    us to check looping. Looping represents the conformity of the balance-sheet matter.

    1.2 The First exchanger series

    The first exchangers series is composed of four exchangers. However, we have took into

    account only the temperature of exit, id est. the temperature at the exit of the fourth

    exchanger. This temperature is significant in the sense that it conditions the good water/oil

    mixture before entering the desalter.

    1.3 The desalter

    The parameters retained for desalter 81B01 are:

    1.3.1 The injected water rate

    The injected water rate conditions the force of electric coalescence. Thus for a crude of

    great viscosity one will admit more water. Indeed, the elutriated water level constitutes an

    electrode of null potential of the electrostatic field in the desalter defines with the second lowerelectrode. The not controlled variation of this level involves disturbances of the field on the

    basis of coalescence. Moreover, a too high level is likely to decrease the duration of

    decantation. Whereas with a too low level, a bad desalting involves, there is risk of drive of the

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    crude with purged water. A self-closing valve is used to evacuate water in the event of alarm

    high level.

    The rate of water injection is given by:

    Rate = Sum (81FI042, 81FI043)/ Feed flow rate

    81FI042: Indicator flow of water injected at the entry of the first landing gear of exchange

    81FI042: Indicator flow of water injected at the entry of the desalter.

    1.3.2 The Nature and the rate of the desemulsifiants

    These parameters influence directly the quality of desalting. Asphaltenes and

    the sediments in the crude are absorbed at the water/oils interface and tend to stabilize the

    emulsions. The emulsions are homogeneous water/oils mixtures in the form of foam. These

    foam disadvantage good separation water/oil. Moreover, they prevent from measuring the

    level of the interface water/oil well. Of or need for controlling the parameters relating to the

    desemulsifiants. The desemulsifiants are generally the surface-active ones wich role is to break

    the emulsions.

    1.4 The furnace

    We retained on the level of the furnace here the parameters relating to combustion. Id

    est. fuel flow Gas and percentage of air inlet. The minimal and maximum flow of fuel is given by

    the manufacturer. It is thus significant to follow it. The flow exploits directly the temperature

    of transfer of the furnace, leaving good separation hydrocarbons.

    A low rate of air could prevent a good combustion; however a too high rate would be likely to

    choke the furnace.

    1.5 The atmospheric fractionating column

    Main part of distillation, all its parameters influence directly the quality of fractionation

    and their good adjustment guaranteed obtaining the specifications of the required products.

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    However, we have focused on the racking flows, the profile of temperature, and the backward

    flows.

    1.5.1 Temperatures in the column

    The temperature is the essential factor of the operation of a fractionating column. It is the

    criterion of separation of the various cuts. A good control of this parameter ensures obtaining a

    good fractionation.

    1.5.2 Racking flows and backward flows

    The racking flows play a determining role on liquid/vapor balances within the tower.

    They help to regulate the temperature of exit, so the 95% ASTM item. They are:

    Total gasoline Flows, Kerosene Flows, light gas oil flows, heavy gas oil, flows, atmospheric

    residue flows, backward flow of head, Kerosene and light gas oil backward flows.

    1.5.3 Reboiling temperatures and stripping vapour flows

    They are the parameters of the second columns or strippers. These parameters are

    essential in the refining of the first separation having taken place in the atmospheric

    fractionating column. Indeed, they make it possible to remove the fractions from the residual

    components more volatile and to turn over them in the atmospheric fractionating column.

    1.6 The vacuum fractionating column

    In addition to the parameters of atmospheric distillation, it is necessary to add the

    pressure in the tower. It informs about the level of the vacuum and makes it possible to reach

    the points of boiling of the components without reaching too high temperatures. It plays aneconomic role because it makes it possible to reduce energy necessary to the fractionation of

    the crude.

    In other way, the atmospheric residue contains hydrocarbons with long chains. More they are

    long more they are fragile, therefore likely to be divided into several pieces if the heating

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    continues under the atmospheric pressure. In order to avoid these inopportune cuts of chains,

    one makes the separation of the products of this atmospheric residue under a relative vacuum

    corresponding to a pressure of approximately 40 mm of mercury (the atmospheric pressure

    corresponds to 760 mm of mercury).

    1.7 Products

    The quality of the production is measured by several parameters. The required

    qualitative parameters are primarily the items 5 and 95% of distillation ASTM. They represent

    the quality of fractionation. The output informs about the profitability of the process and the

    density conformity of the product. For the kerosene, it is necessary to add the freezing point.

    This very significant parameter determines the quality of JetA1, carburizing to the very strict

    standards.

    Chapter2: INTRODUCTION OF THE APPLICATION DATA PROCESSING AID

    The application of the various methods quoted in part 2, permits us to implement a software

    named D-Pro (Data Processing Aid).We are going to mention here the final result of our work.

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    2.1 The welcome page (Picture 3)

    Picture 3: D-Pros Welcome page

    On the welcome page of D-Pro, we present the main menu, the panel of identification, the

    assistance panel, the point of the updates and the last treated cocktails.

    The main menu informs about the various functions available in the application. They are

    namely the search, the analysis, the adjustments and the update.

    The identification panel obliges the user identification before the access to the functionalities.

    We have created it in order to avoid its access to all people who are not authorized. This aims

    at limiting the addition of erroneous data to the data base.

    The last two panels inform respectively on the delay in the updating of the planning information

    and on the last treated crudes.

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    2.2 Assistance

    An interactive help is proposed to the new user. It proposes to him in a visual way various

    contours of the application. That is about, how to carry out a search for cocktail, how to carry

    out an analysis and how to update the data base. We have wanted it interactive to allow an

    easy catch.

    2.3 Search System

    D-pro has two modes of search for adjustments: search by crude and search by date.

    Search by cocktail makes it possible to enter the name of the required crude. The search engine

    then returns all the corresponding crudes already treated with the proceeded dates,

    parameters, the specifications of the products and the remarks and adjustments associated with

    the processing with this crude.

    Mode SCC (Search by Crude Component), makes it possible to select the various crudes

    composing the cocktail (mixture of several crudes) sought without knowing the exact

    proportions. It turns over all the cocktails made up of these crudes. For the design of this

    intuitive mode, we have written a procedure which created automatically a request SQL

    according to the selected components.

    It can happen that one wants to know the treated cocktail and/or the parameters proceeded to

    a given date. That is why we have added a system of search per date. It will consequently be

    enough to select a date to have all information being attached to it.

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    Picture 4: D-Pros Search page

    The results of search are displayed on an interactive graph representing the stages of the

    process (picture 5). This makes it possible easily to be located towards the required parameter.

    While clicking on a stage of the processing, one has access to the details. Id est. the additional

    information voluntarily omitted on the main page of the results in order to make it clear.

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    Picture 5: D-Pros Results Page

    2.4 The Analysis System

    The analysis allows seeing in a graphic way the trends, the dates of optimal results and the

    periods of faulty malfunctioning. The analysis proceeds in three stages. First, the choice of the

    specification to be analyzed. For recall, they are the total gasoline and the light gas oil item 95%

    distilled ASTM and the freezing point of the Kerosene. Then the choice comes from the period

    of analysis. The periods available are the weekly, monthly and quarterly periods. One selects

    finally the date of beginning of the chosen period.

    Picture 6 presents an analysis of the item 95% of the total gasoline over one three (3) months

    period from the 1stAugust 2009. The points in the blue tape represents the days to which the

    Ordonnancement specifications were reached. It is noticed for example that over 55 days of

    processing, it is only during 25 days that the specifications were reached. And the greatest

    period of respect of the instructions is 5 days and extends from the 14 to October 19.

    The operator will be able to thus carry out a search on these dates in order to determine the

    optimal parameters relating to the processing of the cocktails concerned.

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    Picture 6: Analysis Results

    2.5 Adjustments (Picture 7)

    We developed here a base of knowledge on the various adjustments brought on the

    components of the units. By selecting the component in question and the problem referring to

    it, the user obtains the list of the adjustments already carried out, but especially the

    effectiveness of these latter. The possibility is offered to add or remove adjustments; only for

    the users having rights.

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    Picture 7: D-Pros Adjustments Page

    2.6 The Update

    D-pro wanting to be an evolutionary base of knowledge, it must be brought up to date to make

    it richer. To this end, we have created a heading allowing the users having right to make

    updates. The user informs the fields of capture starting from the operators statements books

    and/or recovers them directly on InfoPlus while clicking on the button INFOPLUS (Picture 8) .

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    Picture 8: D-Pros Update Page

    Chapter 3: PROPOSITIONS AND SUGGESTIONS

    3.1 Optimization of the performance of the units

    The instructions of Scheduling, within sight of the control chart (figure 13) are often not reached

    and do not have any particular tendency. That translated that the process is not statistically

    controlled. A thorough statistical approach connecting the charges, the processing and the

    products will be able to emphasize with precision the influence of the charge and the processing

    on the quality of the products; to define mathematical models based on neural networks

    algorithms of describing with fidelity the processes:

    Quality of the products = F (charge, parameters)

    The neural networks make it possible to make decisions being based more on perception that

    on the formal logical reasoning. The networks of neurons, as a system able to learn, implement

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    the training by the experiment. By confrontation with specific situations, they allow a system of

    decision integrated which generic character is a function of the number of cases of trainings

    compared to the complexity of the problem to be solved.

    Such method will allow inter alia:

    y To guarantee the quality of the products,y To use in an optimal way of the utilities: fuels, vapor, water...y To envisage with an acceptable margin of error, modification of a parameter on the

    entire process leaving quality the products.

    3.2 Reliability of the received data

    The data of the exploitation line are dispatched in control room and InfoPlus. The interfaceallowing the transmission of these data towards INFOPLUS is called Rag Time. On HSK3, one

    notes abnormal operations on Rag time. This influences the reliability of the received data. Let

    us recall that the data of our application result partly from InfoPlus. Measures are then

    necessary to guarantee the use of these data. It is:

    y The repair of the instrumentation of Rag time.y The passage to the SNCC (Numerical System of Control)

    This last measure, initially planned for 2010, was seen deferred to 2011 for budgetary reasons.

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    CONCLUSION

    The correct operation of the refinery obeys to an optimal adjustment of the units. So we needto implement all the materials to reach this goal. It is for this purpose that we have received it

    as end of the studies project the implementation of a data processing guide of adjustment of

    the units with U81 and U85 as experimental unit. In addition to a good knowledge of the

    process, it has been necessary to implement data-processing and statistical tools to conclude

    this study. Which study led us to create an evolutionary base of knowledge of adjustments on

    unit 81. Went back Processing Aid fulfilling the functions of storage and interrogation tool of

    the units, of decision-making aid tool and human engineering use, we can say that thespecifications have been respected.

    The final objective being to have within reach a guide of adjustment for all the units; and

    considering the availability of the model U81, we would wish to have a training extension in

    order to apply it to the other target units and/or to integrate its functions into m: pro (an

    application intended to centralize information factories on only one platform). But especially to

    develop additional statistical modules of analysis based on Data mining making it possible to

    connect the feed, the processing and the products. These modules would be more than

    necessary to reduce the gaps between the exploitation and the instructions.

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    BIBLIOGRAPHY

    1. SIR.2008. Manuel de formation U81. Volume 1. Rv00. pp 48-57

    2. SIR.2008. Manuel de formation U81. Volume 2. Rv00. pp 59-82

    3. Optimisation du rglage de la colonne de distillation atmosphrique 81C01, Horo Talnan,

    2009, Ecole Suprieure d'Industrie (ESI), 56pages

    4. Le Carnet du Rgleur ,14eme dition, Jean-Marie Valance, 2eme trimestre 2005, ISBN 2-

    905057-11-4 ,343 pages, Valance editeur

    5. Managing Internet Information Services, Liu, Peek Buus & Nye, Dec 2006, 668 pages,

    ISBN 1-56592-062-7, O'Reilly & Associates Editions

    6. HTML: The Definitive Guide (en anglais), Chuck Musciano & Bill Kennedy, August

    2006, ISBN: 1-56592-492-4, 576 pages, Ed. O'Reilly & Associates