Optimising Subsea Assets From Reservoir to Deck charff I 4S ubsea I - - PowerPoint PPT Presentation

Optimising Subsea Assets – From Reservoir to Deck

Berit Lid S charff I 4S ubsea I Norwep Offshore Wind S eminar Sep 14th 2018

Risers and Flowlines Well Intervention and Drilling Offshore Wind

• 4S

ubsea provides technology and services that help operators maintain production from subsea oil and gas fields and offshore wind farms.

• We combine our operational experience with digital capabilities to

automate engineering processes and help operators reduce risk and cost.

• We enable operators to maintain production and increase service life,

taking care of subsea installations all the way from the reservoir to deck.

Speaker notes previous slide

Key customers

Clients include all the maj or energy companies, large equipment suppliers, and rig- and FPS O operators.

• Equinor
• Lundin Norway
• ExxonMobil
• S

hell

• Wintershall
• EnQuest
• BP
• Total
• Petrobras
• One S

ubsea

• Aker BP
• OMV
• VNG Norge
• Maersk Oil
• Transocean

Today’s technology makes it easy for operators to start monitoring or using the monitored data they already have in a way that helps prevent damage to their equipment. And if damage should still occur it enables us to detect it quickly so that we can manage the situation before it escalates to the point where production needs to be stopped and expensive equipment replaced.

Speaker notes previous slide

Offshore Wind Projects

Floating wind turbines Bottom- fixed wind turbines

Hywind Experience 2010-18

• S

ystem / concept / key driver insight

• Marine design
• S

tructural design

• Mooring design
• Cable configuration design
• Floating substation design for wind park
• Global analysis
• Marine operations
• Commercial

More than 10 projects and 50 activities, 20 000 work hours

Bottom-fixed Structures

• OC5 participation – phase 3
• ngoing
• Cable integrity management –

movements in monopile

• Cable Protection S

ystem (CPS ) (Carbon Trust Offshore Wind Accelerator)

• NGI collaboration on model for

interaction between seabed and structure

SWIM™

For Offshore Wind

10

• perators

16

rigs

3378

rig days

• S

WIM or S ubsea Wellhead Integrity Monitoring enables operators to carry out heavy intervention work on old wells as well as significantly reducing risk and cost when drilling new wells.

• The oil and gas industry will rely more on Increased Oil Recovery (IOR) from existing

wells going forward. This means doing heavy intervention work on old wells. This again poses a challenge as the wells have not been designed for the loads imposed from repeated rig operations. To add to this problem, the size and weight of modern drilling rigs and equipment has increased significantly.

• S

WIM is a tool to detect wellhead integrity issues during rig operations early enough, so that it’s possible to take corrective actions before it gets critical.

• The solution was first launched early in 2015 and since the start of 2017 it has been

used for 3378 rig days in operation on 16 different rigs for 10 different oil companies. In January this year we were awarded a product leadership award by Frost and S ullivan for this solution and j ust recently we have entered master service agreements with both Equinor and Anasuria to provide this as a S aaS , or software as a service solution.

Speaker notes previous slide

• Using S

WIM, no extra personnel are required on the rig, nor is equipment installed

• topside. Only three small sensors are placed on the BOP

. S ensor data is transferred wirelessly via the ROV . We install our retrofit sensors or use existing ones.

• In areas with soft seabed conditions or shallow water- or gas reservoirs, loss of soil

support can be challenging. S WIM continuously assesses how deep in the seabed the conductor is getting its support. Mitigating actions such as rock-dumping around the conductor can be made and operator get immediate feedback on the effect of these actions.

• Operators get live decision support dashboards where the full load history of the well is

accounted for. By measuring the actual loads applied to wells you reduce the need for conservative assumptions, thereby getting the most out of each well slot. They also get load- and operational history of each well and history of which rig was connected to the well, when it was connected and the key properties of the rig at that time.

Speaker notes to video on previous slide #2

• For monopiles used in Offshore Wind, we could measure changes in natural frequency,

fatigue, rotation, acceleration, loads, and soil support. The latter is very important, and we are collaboration with NGI on new models to measure the interaction between seabed and structure.

• We would use our tried and tested algorithms and machine learning models from S

WIM to process available data, and to provide predictive analyses. The effect of mitigating actions is immediately visible on the dashboard.

• As with S

WIM, we can provide our autonomous retrofit sensors or use existing ones. It’s great making big amounts of data available, but we believe in having good data scientists, domain experts and software people with ability to work with the data, understand the data, to modify the algorithms and models and make real sense of the information.

Speaker notes to video on previous slide #2

Know it before it happens – and act accordingly!

Customer Value SWIM™

Equinor Lundin

COST SAVING: S aved 4-6 rig days @ 400’ US D/ day COST SAVING : Avoid starting new well slot minimum 10-15 MUS D

Bottom- fixed wind turbines

Value SWIM™ for Wind beta

• Avoid stop in production
• Avoid replacement or expensive

repair

• Lower maintenance costs
• Predictive analysis for better decision

support – “ know it before it happens”

• Fix it before it gets big
• Lifetime extension

Bottom- fixed wind turbines

Value SWIM™ for Wind beta

• Digital cousin => digital twin: Transfer
• f domain knowledge and machine

learning models from 4 years of S WIM™ experience with similar structures and challenges

• Better collaboration - everyone shares

same the same data and insights

• Easy overview of (few) key

parameters

Asset Monit oring Cont ractor request s input Operat or defines scope Operat or collect s dat a Cont ractor st ores and prepares Engineering analysis Operat or reviews report Deliver report Feedback t o asset

Procurement Legal

The Common Way

The New Way

Energy co.

Machine learning Algorit hms Collaborat ion

One team

S

• ft ware I Engineering I Dat a

S cient ist s I Operat ions

S hare insight

Depart ments I Operat ors I Vendors I Indust ry

Empower

Dat a availability I Dat a analyt ics I Dat a visualisation

Reduce risk

Decision support I Predict ive I Proact ive

Reduce cost

Avoid repairs and replacements I Maint ain product ion

Improve

Technology I Algorit hms I Business models

Collaboration

• By presenting results on a web service we get immediate feedback from different users,

enabling a dialog between software developers, engineers, data scientists and not at least the

• perational teams out on the rig.
• We empower engineer by making the data available through open API’s in
• ur DataReservoir.io and engineers and data scientists can work with the data using their tools
• f preference and the powers of cloud computing.
• We enable sharing of insight across departments, and between operators, we facilitate sharing
• f information with vendors when and the industry in general when clients see the value of this.
• We reduce cost by preventing the need for repairs and ultimately we avoid stop in operations.
• We reduce risk of operations by providing decision support based on predictions, and

information deducted from algorithms that cannot be measured directly and we move from a reactive approach to a proactive approach.

• S

uch collaboration will improve operations, we create an environment where we will come up with new and better technologies, improved algorithms and new business models.

Speaker notes previous slide

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