Petex DOF Brochure

8/9/2019 Petex DOF Brochure

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R E A L T I M E F I E L D M A N A G E M E N T

Petroleum Experts

The Digital Oil Field


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The Digital Oil Field

When we talk of the digital oil field (DOF)what do we mean?

Digital Oil Field production software applications capturethe behaviour of the oil field on the PC. The applicationsare used as an on-line management system of the oil andgas companys assets throughout the assets entire lifecycles.

The Petroleum Experts digital oil field technology providesan enterprise-level, vendor-neutral approach to visualisingreservoir, wellbore, and gathering facility information. Ourapproach enables rational decision making through the useof models, workflows, and intelligently filtered data withina multi-disciplinary organisation of diverse capabilities andengineering skill sets.

Core elements of the Petroleum ExpertsDigital Oil Field:Visualisation - Provides a coherent view of an oil field. Datasets are integrated, including the engineering models andproduction and economics information with visualisationcapability in an organised way. The power of a single assetand data model permit, with a push of a button, the visualscreens to be upgraded and extended automatically as theoil field develops.

Engineering and Business Management Logic - The tasksand procedures, i.e. workflows, that the teams carry outto monitor, operate, optimise, and develop the field areautomated through a layer of logic, business, and engineeringworkflows. This layer establishes common best practicesacross the global organisation using standard workflows

that are out-of-the-box best-practice procedures for fieldsurveillance, optimisation, diagnostics, allocation, andforecasting. Custom workflows can be easily added to the

logic layer by the user. The automation of standard tasksfrees the engineering and management teams toconcentrate on much higher added-value activities.

Organisation and Auditing - Alignment of the teams,processes, and the technology is core to any successful digitaloil field implementation. A single repository of the models,data, and information for a field allows the organisationto develop a consistent and coherent view of their asset.This common official field representation, the virtual field,records an auditable history of the field over its life. The useof a centralised model and data catalogue can help reducethe siloed view of single technical disciplines. Moreover,storing the field events and recording the decisions associatedwith those events become the foundation for engineeringknowledge capture required for an expert system.

Data Management - Today, the instrumented fields havea huge volume of measurements coming from wells andequipment sensors often millions of data points per minutefrom a single field. Making the relevant measurement anddata (validated measurements) available at the frequencyrequired necessitates sophisticated data storage, management,cleansing, and filtering of the data. In order to be suitablefor the required tasks, a scalable, upgradable, and extensibledata technology has to be at the heart of effective long-termdata management. Therefore, productising of the datamanagement through a single-asset data model is fundamentalto any successful Digital Oil Field implementation. Otherwise,

the implementations become highly customized, lengthy,very expensive, and, oftentimes unsustainable.

The Virtual Field - This is a physical representation of thefield through a set of models, i.e. mathematicalrepresentations of each component of the field. In the virtualfield, reservoir, production, injection network, wells, process,economics, and planning tools are each integrated with oneanother. These multi-vendor sets of steady and transientmodels are dynamically linked as an Integrated ProductionModel to represent and capture the current field response,as well as to optimise field production and run forecasts.

Visualisation of field data, analysis, trends at all levels in real time


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Visualisation - Digital Oil Field

Scalable Visualisation technology by Petroleum Expertssupports multiple windows everything from virtual realityto spreadsheets, teleconferences, and the handheld

phone all driven by the familiar interface. The use ofPetexs digital oil field technology yields an overalloperational visibility on a massive scale. Desktop displaysystems, which are easily scalable, promote informationsharing between remote sites and can be easilyintegrated into the users existing network infrastructure.This sharing capability enables geographically dispersedworkgroups and international teams to be moreproductive by allowing them to work collaboratively.

The visualisation layer is a standalone Petroleum Experts productthat brings together intelligently filtered data, information,and results from multiple vendors and data sources.Petex have set three criteria as the foundation in developingits Digital Oil Field technology. The underlying field, types ofmodels), and information (data) evolve over time. Therefore,an effective DOF product must deliver the followingfundamental criteria:

Maintainability of the real time data collection system - e.g.how we add equipment such as wells, compressors, etc.to the DOF system as the field is developed. This type of

ongoing maintenance should be straightforward withoutrequiring the time and cost of a 3rd party vendor to updateand maintain field system and tag data of the asset model.Adding equipment from the asset model (propagation) to thevisualisation layer needs to be as easy as a pushof a button.

Scalability - one field may have 10 wells and one reservoirwhile another may have 100 to 1000 wells and multiplereservoirs. Unless the DOF system is developed to be scalable,it will not be deployed easily to multiple fields per year.System implementations will be limited by resources - skilledpeople. The Petex DOF suite is designed to be scalable, andas products, they can be deployed and configured indayseven for large fields and systems.

Upgradability of the system. The Petex DOF suite is designed tobe upgraded at the click of a button for new software versionsor the addition of tools and capabilities. A system that cannotbe easily upgraded will always be at risk of becoming obsolete.

Key Performance indicators (KPIs)

Wells KPI

Visualisation create value by linking operations, studies groups,managementas as part of global multi-disciplinary organisation using

consistent information

Visualisation of field data, analysis, and trends at all levels in real time


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The Role of the Visualisation System

Visualisation - The visualisation layer is the face of the Digital Oil Field. It provides a visualrepresentation of the underlying engineering logic, data management, and models tofacilitate the effective monitoring, management, and operation the field by theorganisation. The visualisation layer also provides a coherent view of an oil field by

integrating data sets (e.g. engineering, production, economic, etc.) with a visualisationcapability in an organised way. With visualisation technology, data and results are exposedto engineers, operators, managers, and any other users of the system in visual formatswhich can be easily configured.

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Engineering and Business Management Logic

The Petroleum Experts digital oil field technologyprovides an enterprise-level, vendor-neutral approachto visualising information. The Petex approach enables

rational decision making through the use of integratedmodels, workflows, and data within a multi-disciplinaryorganisation of diverse capabilities and engineeringskill sets.

In reaching its targets, the modern oil and gas industry facesgreat challenges in managing assets in conventional fields andunlocking the potential in what was previously considerednon-economic fields. The industry faces challenges in: supporting field developments with functional specialists

remote from the asset and operations demographics of its ageing workforce more data/information to process large uncertainties with the billion-dollar new developments a shortage of skilled professionals information and knowledge that is not often shared

creating competing and, at times, contradictory agendas.

The Digital Oil Field technology of Petroleum Experts isdesigned to provide the field and model managementactivities under one platform as standard out-of-the-box

workflows. Model management updates are automatedusing real-time data and operational information. Engineersare now able to focus on added-value (i.e. productionoptimization) activities and analysis while allowing the DOFplatform to process the data and workflows. The workflowsreport the results, exceptions, and any technicalrecommendations for the engineer to further analyse.The standard activities (workflows) for all oil and gas fields are: Field Surveillance: Understanding how the field is

performing (production system surveillance, reservoirsurveillance, etc.)

Optimisation: Improving field performance (short-termand/or long-term optimization)

Forecasting and performing what if scenarios:Predicting how the field will behave under differentconditions (field development analysis, business planning,life of field forecast, and sensitivity / uncertainties analysis).

The Petroleum Experts DOF technology provides a platformfor executing model-based workflows. The workflowsinclude: model management, rate estimation, model-based

surveillance and diagnostics, allocation, optimisation,forecasting, and custom (client- or asset-specific workflowsas defined by the user).Petroleum Experts Integrated Field Management approachis productised . The entire system becomes completelysupportable by the clients company after implementation.That means that clients avoid the requirements, delays,and costs associated with external 3rd parties typicallyencountered in custom written and integrated alternatives.The Petroleum Experts DOF technology is completelyscalable. It automatically creates data model objects, which,in turn, means that when a new well or equipment iscreated, they are automatically reproduced and can be usedanywhere in the system. Moreover, upgrades are achieved

by a push of a button which migrates the databases andinstalls the executables without losing any of the previousconfigurations.

Monitoring the operating point of equipment in real time (ESP)

The standard logic for modelupdates, optimisation, well rate

allocation, and forecasting

The Petex Digital Oilfield Architecture


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Real Time Field Management Through Standard Workflows

Engineering and Business Management Logic The tasks and procedures, i.e.workflows, that the teams carry out to monitor, operate, optimise, and develop the fieldare automated through a layer of logic - business and engineering workflows. Thisestablishes common best practices across the global organisation using standard

workflows that are out-of-the-box best-practice procedures for field surveillance,optimisation, diagnostics, allocation, and forecasting. Custom workflows can be easilyadded to the logic layer by the user. The automation of routine tasks frees theengineering and management teams to concentrate on the added-value activities.

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The IPM and Third Party Engineering Modelling Tools

Petroleum Experts Integrated Production Modelling suite (IPM) is deployed on itsown or as part of set of multi-vendor modelling applications that capture the fullcharacteristics and response of the field, the Virtual Field. Having a model of the field is aprerequisite for implementing the Digital Oil Field. The IPM suite is the industrystandard integrated production modeling suite for oil and gas companies.

The Virtual Field - is a physical representation of the field through a set of models, i.e.mathematical representations of each component of the field - from reservoir, productionand injection network, and wells, to the process, economics, and planning tools.

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The Organisation

The overall objective of a company or an asset team isgenerally clear, i.e. the commercial and technical drivers areunderstood. However, an individual or a particular set of

technical disciplines may often have a limited view andunderstanding of the field reality to make the correctdecisions. Also, the correct information is often not readilyavailable.

The diagram below illustrates, in a simplistic way, thechallenges of successfully implementing the digital oil field.

The structure of the Digital Oil Field architecture set out inthese pages (the managed environment of common data

management, model management, standard workflows,and a visualisation system) provide the technical frameworkfor a DOF implementation. This framework is the enablerthat will allow the organisation to better analyse, manage,and operate their field.

This single view, the Virtual Field, is composed of theengineering models, reports, spread-sheets, and associateddata accessed and maintained through a central repository.Most importantly, they can all be easily updated andmaintained as the field is developed and produces.

Centralised Model Management - ModelCataloguePetroleum Experts ModelCatalogue provides the centralrepository that facilitates an up to the minute clearer

understanding and awareness of the field:: Provides controlled access to the individual models,

reports, data, and even schematics (different privilegesaccording to the engineers roles);

Ensures only one engineer can perform changes to theofficial model at a given time;

Ensures seamless sharing of models. Automatically keeps track of the evolution of all models

versus time and provides access to historical versions ifrequired

Provides seamless access to any on-line system whichwill be consuming these models to carry outcalculations;

Keeps track of who and why changes were performed

(for auditing and knowledge base development) Allows the association of models with their corresponding

input data to keep both models and context data related.For example, the PVT reports, Well and EquipmentDrawings, deviations surveys, and other documents canbe kept catalogued within the same Model ManagementSystem.

Knowledge CaptureEngineering know-how and experience are of paramountimportance for the oil and gas companies. The growing

scarcity of experienced workers is creating an experiencegap that Integrated Field Management technology will helpto bridge. Capturing the expert knowledge in anorganised and structured manner and supportingcollaboration reliably and securely in real time becomes keyto increasing productivity and fueling a companys ability togrow. The expert knowledge capture within thePetroleum Experts DOF philosophy is supported byintroduction of individuals experience into workflows andanalysis.

The technology described here has proven itself to be apowerful enabler - a catalyst for the creation of theorganisational thinking and transparency required for thesuccessful implementation of the digital oil field vision.

The combined engagement of the organisationsmanagement, at all levels, as well as the asset teammembers will ensure actions are transparent, knowledgeis shared, and decisions are made with all the availableinformation. This will facilitate the achievement of theDOF added-value objectives.

Common Model and Data Source

A Data Structure for the ModelCatalogue An Organisation: Alignment is a Challenge


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The engagement of the organisation is critical

Organisation and Auditing Alignment of the teams, processes, and the technology iscore to any successful digital oil field implementation. A single repository of the models,data, and information for a field allows the organisation to develop a consistent andcoherent view of their asset. This common official field representation, the virtual field,

records an auditable history of the field over its life. The use of a centralised model anddata catalogue can help break-down the siloed views of single technical disciplines.Moreover, storing the field events and recording the decisions is the foundation forengineering knowledge capture required for an expert system.

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The Petroleum Experts Digital Oil Field (DOF)technology enables the transformation of the myriadof different types of data using standard industryapplications alongside the Petex tools as will be neededby the DOF system described in this document.

Data Management, as part of the digital oil field, hasseveral key components:

The historians, databases, and data storages all designedto store the real time, as well as operational andassociated static data, files, and information for the asset;

The production data management system (PDMS); The data-processing layer provides filtered and partially

processed data to the users.

The Historian and Production Data Management SystemThere are a number of historian and PDMS systems in theindustry, which capture raw data, process and storeinformation, provide corporate allocation, etc. as well assupplying varying levels data processing, cleansing, andfiltering. In the context of the DOF, a sophisticated level ofdata cleansing and data filtering is deployed by Petex toanalyse raw data, capture the meaningful field events, andprovide meaningful correctly representative filteredinformation.

Data Filtering and CleansingThe filtering methodology developed by Petex uses aunique proprietary, as well as the more common publishedfiltering methodologies. Petexs proprietary method providesmore sophisticated filtering, using the raw data, physicalmodel responses and expert system to detect changesand hence rationalise data, based on event-driven activitiesand trends, as illustrated below, right.

To detect field events, e.g. equipment performancechanges, or to trigger valid alarms, may require raw datato be analysed at a later time, evaluating historical trendsand the physical models to determine ifsomething has happened or changed. Thisis smart filtering. This robust data filteringsolution interprets the multitude of datastreams to ensure the relevant data issupplied to enable decision-making:

High Frequency Data(e.g. measurements coming from thefield, including current field conditions,field equipment performance, etc.)enables: alarm monitoring, eventdetection, and well test analysis.

Low Frequency Data is used for thePhysical Models and to support processingof field data to convert it into meaningfulengineering information to be able topredict how the field will respond whenconditions change.

Single Asset Data Models for the Digital Oil FieldA challenge for any DOF system is handling the datarequirement of multiple applications and users. Typically,this requires data to be input in several location. Petexhas created one data or asset model, which is propagatedthroughout the system, i.e. if a well or a piece ofequipment is added, the information is automatically madeavailable for each part of the DOF system to use. Moreover,the same concept is used to link the external PDMS andHistorians systems using data wizards to configure the tagsand required links. The wizards follow a step-by-steppattern to meet the objective of establishing and testingconnection to the external data sources through to tagmapping and configuration of data retrieval. Any new tagmappings, modifications to existing tag mappings, fieldmeasurements or equipment can be easily added managedthrough the wizards.

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Data Management

The data management structure Advanced filtering and data cleansing uses sophisticated Petex proprietary techniques


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Data Storage, Data Cleansing and Data Filtering

Data Management Instrumented fields have a huge volume of measurements comingfrom wells and equipment sensors often millions of data points from one field, perminute. Making the relevant measurement and data (validated measurements) availableat the frequency required, necessitates sophisticated data storage, management, cleansingand filtering of the data, suitable for the required tasks.

A scalable, upgradable, and extensible data technology has to be at the heart of effectivelong-term data management, hence productising of the data management througha single-asset data model is a fundamental.

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Notes


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