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Digitalisering av landbaserte oljeinstallasjoner
Overvinne utfordringer med eldre systemer med Eigens intelligente dataplattform og avansert analyse.
Table of content
Overview
Operating onshore provides a unique set of challenges, owing to scale and setting. Technology deployment has historically lagged offshore investment with only rudimentary instrumentation in place. The net effect is that onshore operators have been forced to leave their assets unsupervised, addressing issues reactively, which impacts cost and production.
However, as the costs of sensing, cloud computing and storage technologies have fallen, the digital transformation of the onshore oilfield is once again on the agenda.
Context: Limited visibility, limited control
Onshore oilfield operators face a fundamental challenge of limited visibility of their oil and gas assets due to poor connectivity, inadequate instrumentation and legacy infrastructure over vast, dispersed well sites.
Consequences
- Reactive and costly maintenance, inefficiently deployed, with engineers dispatched whether required or not.
- Production losses left undetected for weeks and months: little data to support the need for intervention.
- Safety, reliability and integrity issues left undiagnosed, untreated.
Without real-time data, operators run blind reacting instead of predicting, firefighting instead of optimising.
Eigen’s architecture integrates smart edge devices, cloud infrastructure and real-time analytics through Eigen Ingenuity to transform how onshore oilfields operate.
- Data collection, connectivity and security
- Low-power IoT sensors & gateways extract real-time data, even from remote locations.
- Hybrid communication (LTE, LoRa, satellite) ensures data gets through, no matter the conditions.
- IoT sensors are now battery powered and, with the LoRaWAN protocol, battery life is extended. LoRaWAN employs device authentication, network and session keys, frame counters and encryption to ensure security.
- Cloud infrastructure and data management
- Scalable cloud architecture centralises all asset and operational data.
- Eigen recommends the use of open-source timeseries historian, such as InfluxDB, although other databases are also supported, including SQLServer and PostgreSQL.
- Data pipelines filter noise, surfacing only meaningful insights.
- Real-time visualisation and decision support through Eigen Ingenuity
- Live dashboards display critical well and equipment performance in a single intuitive display.
- Advanced analytics detect anomalies, predict failures and optimise maintenance.
- Actionable insights and operational impact
- Low-code drag-and-drop scripting technology easy to use to create maintenance and surveillance workflows.
- Automated surveillance alerts ensure faster, smarter decision-making with fewer site visits.
- Production losses minimised through early fault detection.
Impact: Connected, intelligent oilfields – under control and maximising value
Business impact: from reactive to predictive operations
Onshore operators who invest in digital transformation are able to access near-term benefits with a rapid return on their investment:
- Lower operational costs by eliminating unnecessary site inspections.
- Faster, more informed decisions with advanced analytics and built-in calculations.
- Enhanced production efficiency through optimising Pump-Off Controllers, preventing under or over pumping.
- Reduce downtime and production loses with steady production and continuous asset monitoring.
- Energy cost savings from reducing unnecessary pumping and lower maintenance costs from extended equipment life.
- Long term benefits such as improved reservoir health and sustained performance.
- Faster, more informed decisions with advanced analytics and built-in calculations.
- Enhanced safety and reliability, building confidence and reputation.
There is evidence that an average of 5% in increased production and up to $2,000 in maintenance savings can be achieved by optimising the operation of onshore mechanical pumps, not considering further costs reductions in energy consumption.
With Eigen’s digital architecture, onshore oilfields can transition from outdated, inefficient operations to a connected, intelligent ecosystem – where every well, every sensor and every insight drives performance.
One onshore field in Peru had data from 800 mechanical pumping wells from Pump Off Controllers installed in the field. But this data was just sitting there not being processed. Just by calculating Efficiency, Stress, Power Consumption and the Production rate from the data being collected in the field, the entire pump lifecycle can be optimised by prioritising inspections and selecting candidates to implement costly new field technologies, as illustrated below.
Case studies: digital transformation for onshore operators
Enkle å lese casestudier som går i dybden på hvordan og hvorfor løsningene våre er så effektive