© 2019 AVEVA Group plc and its subsidiaries. All rights reserved. NA 2019 Day 1 Content/OG... · 2019-11-18 · © 2019 AVEVA Group plc and its subsidiaries. All rights reserved

© 2019 AVEVA Group plc and its subsidiaries. All rights reserved.

Presented by:

Session ID: OG-02

Predict Main 4.0: Creating a Digital Twin to integrate the whole Upstream Process


Leo SoaresDigital Transf. CoordinatorAdvisor in Geophysicsat Repsol Sinopec

November 12th 2019

Thiago OliveiraTechnical Managerat AVEVA

Agenda


Repsol Sinopec Brasil

Global Strategy of Repsol Group

Digital Twin 360°

P-50 Numbers

General View and Phase 1

Unified Asset Visualization Platform

3D Model Optimization

Results

Summary


An energy enterprise focused on E&P Upstream in Brazil

The 4th oil & gas producerin Brazil

The first to implement the Ship-to-Ship operations in Brazil (2016)

One of the firstoil companies in Brazil (1997)

It is part of the Repsol Group present in the whole Oil & gas value chain

REPSOL SINOPEC BRASIL


GLOBAL STRATEGY OF REPSOL GROUP






Digital Twin – PredictMain4.0 R&D Project

Asset Life Cycle

Operation Life Cycle

AssetPerformance

MonitorAnd

Control

EngineerProcure

Construct

OperateAnd

Optimize

Plan andSchedule

Digital Twin 360°

GENERAL VIEW


Year 1: Surface Year 2: Subsea Year 3: Well e ReservoirYear 4: Integration with other

Projects

DIGITAL TWIN Creation

Year 2

Create the Subsea Digital Twin

Year 3

Connect Well and Geophysics Data

Ano 4

Connect others R&D Projects to the Digital Twin

Year 1

Create and Optimize the Digital Twin of FPSO + Real time operational data +

Engineering + Maintenance & Inspection

Phase 1 Detailing – YEAR 1


Phase 1 – Unified Asset Visualization Platform

Digital Twin Creation – Engineering, Operation, Maintenance and Inspection

3D Model Optimization

Unified Asset Visualization Platform Creation

Operation, Maintenance and Inspection Data Integration

Delivery and Assisted

Operation

Monitoring Critical Equipment using Machine Learning Predictive Maintenance

Critical Maintenance and Operation and Safety Procedures Creaton Using AR/VR

Engineering Data Integration


Unified Asset Visualization Platform Creation

Data Souces Integrator Visualization

3D Model P&ID

2D DrawingsTechnical

Documentation

Engineering Data

Maintenance Plan

Predictive Maintenance

MonitoringMachine Learning

Engi

nee

rin

gM

ain

ten

ance

an

d In

spec

tio

n

Dig

ital

Ass

et U

nif

ied

Pla

tfo

rm

3D Visualization

Drawings and Documents

Augmented Reality

Reports and Dashboards

3D Model Optimization – 4 months of execution

Check and data review

- Extracted Data from original databases

- Issues Verification

- Divided Models Check

Cats&Specs Conversion

- Dimensions

- Detail and Material descriptions

- Material Code from Project

Solving Problems in the Original Data

- Exclusion of Studies Models

- Check on Empty Databases

- Inconsistency Information in the Original Database

3D Model Conversion

- Relationship with the Cats & Specs

- Equipment and Nozzles

- Piping

- Steel and Civil

- Trays

Validation

- Interface with PETROBRAS for adjustments

- Comparison between converted and original models

- Test for Engineering purposes

- Tests for AR/VR Apps

P-50 Numbers


Models Quantity

• PIPING – 1251

• EQUIPMENT – 336

• STRUCTURE – 454

• RACEWAYS – 165

• VOLUMES (Ustation) – 32

• TOTAL – 2238 Converted Models

Project Numbers

56316

4740 12503

461942

319938

27936

0

50000

100000

150000

200000

250000

300000

350000

400000

450000

500000

SpecComponents

Equipment Piping PipingComponents

Steel Elements Trays

Elements Quantities – P50

New Opportunities for Engineering – P&IDs

- AVEVA Diagrams: I-DE-3010.62-1231-944-DRS-002

P&IDs and 3D Models Integration Automatic Data Comparison

New Opportunities for Engineering – P&IDs



Inje

ctio

n M

od

ule • Water Injection

• 565 pipelines

• 631 equipment

• Technical Documentation

• Operation and Maintenance Data G

ener

atio

n M

od

ule • Energy Generation

• 585 pipelines

• 5982 equipment


• Operation and Maintenance Data

Co

mp

ress

ion

Mo

du

le • Gas Compression 727 pipelines

• 1250 equipment


• Operation and Maintenance Data

3 Critical Modules

| Copyright © 2017 AVEVA Solutions Limited and its subsidiaries. All rights reserved.


Maintenance Data from SAP


Maintenance History from SAP


Predictive Maintenance Models Creation

• 28 Equipment Models

Identification of Operational Conditions from Data Relationship using operation data – it helps to raise an alarm in advance when the equipment is not in one of the identified conditions


Integration with AVEVA Prism

Predictive Maintenance


Integration with AVEVA Prism

Visual Queries using Anticipated Alarms


Integration with Real Time Operation Data


A True Digital Twin…

P-50 3D Model

P-50 Real Asset


…Going Deep


…Going Deep: Subsea Terrain

P-50

Summary

• Benefits for Engineering

1. Possibility to integrate laser scanning data

2. Fast engineering data extraction

3. Trustful design review

• Benefits for Operation and Maintenance

1. Predictive Maintenance

2. Improve Performance

3. Descrease operational risks

4. Increase safety


• Why AVEVA?

1. Partnership and Guidance

2. Great Technology

3. Focus in Solving Industry Problems

4. Great Integration Capabilities

5. Flexibility

6. Looking Beyond

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@avevagroup

ABOUT AVEVA

AVEVA is a global leader in engineering and industrial software driving digital transformation across the entire asset and operational l ife cycle of capital -intensive industries.

The company’s engineering, planning and operations, asset performance, and monitoring and control solutions deliver proven results to over 16,000 customers across the globe. Its customers are supported by the largest industrial software ecosystem, including 4,200 partners and 5,700 certified developers. AVEVA is headquartered in Cambridge, UK, with over 4,400 employees at 80 locations in over 40 countries.

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