• Oil and gas

    Oil and gas

    We transform oil and gas companies through digital, cloud models and help them manage their assets more efficiently.


Challenges faced by the oil and gas industry

The oil and gas industry is currently facing the issue of having to transform its operating models, and reinvent its business processes through the implementation of digital technology. As an industry, it also plays a vital role in helping reduce the carbon footprint of the value chain.

Particularly within the context of the various social, economic and environmental changes that we have seen pick up pace in recent years, companies must, now more than ever, take steps to minimise their carbon emissions. This, of course, should be based on a business vision which allows assets to be managed efficiently and the supply chain optimised, the ultimate goal being to make the cost structure as efficient as possible.

Our expertise and technology

At Ayesa, we offer GIS solutions talored to the needs of the industry, which have been tried and tested by more than 12 million users.
Geographical information system (GIS)
This solution is designed to make collecting and managing data easier, as well as increase its quality and security. Featuring interactive maps, thanks to mobile GIS technology, it can be integrated with apps. What’s more, it allows for incident management and customer interaction, as well as data analysis and reports on aspects such as loss analysis, service quality and emergency planning.
GIS – MRS – SAM integration
This solution allows personnel to view and locate work orders assigned to them using a mobile device, and calculates the optimal route for them to get to the location. It also allows management staff to view work orders and see where technicians carrying out fieldwork are on basemaps, as well as assign work in an easy and intuitive way by using a drag-and-drop system on the map.
This is an open-source solution with no cost, except where a Google API is used. It allows users to manage aspects relating to field inspections carried out on supply equipment, such as retrieval and entry of data, planning of inspections, allocation of work to contractors and users, monitoring/tracking of inspections and collection of photos, certificates and signatures. It also manages the life cycle of seals and field installations, as well as handles seal codes.
Conversational artificial intelligence (AI)
This technology allows intelligent chatbots designed to automate tasks and workflows to be created and monitored. It also allows user intent to be classified by way of AI algorithms for natural language processing. What’s more, they can be set to use either formal or informal language with users. A particularly important feature is the fact that, by monitoring user intent during interactions, they are constantly learning.
Digital twins
These are a virtual representation of an organisation’s assets, and aim to reduce costs and streamline operating and maintenance processes. They are able to predict how a physical system will behave and provide information for helping with decision-making processes. What’s more, they bring efficiency to companies by allowing them to introduce remote operations, thereby providing support for frontline operations by way of big data. This technology also allows users to see the status of an asset, in addition to predicting and optimising its performance.


The upstream sector, also known as exploration and production (E&P), includes the search for crude oil and natural gas fields, drilling wells and building the infrastructure necessary for extraction.

Digital transformation is particularly relevant in the upstream segment, as oil and gas companies simply cannot afford to be left behind by the modern world. This means adopting a new approach to operational models in order to leverage all the benefits offered by advances made in the digital world.

As such, during exploration, predictive algorithms and intelligent sensors are used to help interpret seismic data, thereby increasing the safety of drilling, whilst during production, the use of artificial intelligence has become essential for effectively managing operations and increasing safety.

Making use of such technology requires software which, as well as allowing all aspects of logistics involved in running upstream facilities to be controlled and monitored, enables all information to be accessed in the cloud, something which means greater collaboration, more coordinated operations, and an increase in safety and efficiency.


The midstream sector covers the transportation and storage of crude oil, natural gas and refined products. Transportation can take a number of forms, including pipelines as well as sea, rail and road, depending on the product in question.

The use of the latest technology here means greater control and increased safety during transportation, in addition to allowing deliveries to be monitored. One example of such technology is the combination of the IoT (Internet of Things) and sensors for use on both networks and means of transport (trucks, ships, pipelines, etc.).

Other technologies that have become essential for connecting the entire supply chain are artificial intelligence and appification. During transportation, more and more drivers are using apps for various purposes, from managing shipments, transporting goods across international borders and monitoring the temperature in the space where the products are held, to reserving safe and secure parking spaces as well as photographing and recording damaged goods.


The downstream sector covers refining, processing, marketing and distribution. As such, crude oil is turned into petroleum products, raw natural gas is processed, and petrochemicals are produced. These products, which include processed natural gas, liquefied petroleum gas (LPG), gasoline, reactor fuel and diesel fuel, are then sold and distributed.

Here, the use of intelligent sensors and advanced mathematical algorithms to obtain predictive insights into orders, as well as artificial intelligence and machine learning for automating operations at petrol stations, is becoming more and more common.

In fact, smart petrol stations are now a reality thanks to technology solutions based on the IoT (Internet of Things), designed to ensure the efficient control and monitoring of all aspects of their operations.


Discover our past projects.


Stay up to date with the latest news at Ayesa.
Ayesa to implement its time and attendance system at the University of the Basque Country (UPV)

Ayesa to implement its time and attendance system at the University of the Basque Country (UPV)

Ayesa is set to upgrade the HR IT system used to manage 15,000 public-sector workers in Extremadura

Ayesa is set to upgrade the HR IT system used to manage 15,000 public-sector workers in Extremadura

Ayesa’s projects involving commercial systems for utilities companies and HR systems for public administrations achieve CMMI Level 3

Ayesa’s projects involving commercial systems for utilities companies and HR systems for public administrations achieve CMMI Level 3

  • Services we offer

    How we apply our expertise in different industries.

    We study
    We undertake multidisciplinary studies of all kinds so that our clients are able to make informed decisions and choose the very best solutions throughout the course of their projects.
    We design
    When it comes to designing infrastructure, no matter what the challenge, we have the solution.
    We advise
    We have the expertise necessary to guide you on your journey of transformation and growth.
    We supervise
    Our broad portfolio of experience in this area has seen us supervise the construction and operations of large civil infrastructure, buildings and industrial facilities around the globe.
    We manage
    We combine technology and engineering to deliver comprehensive management services able to meet all the needs of our clients.
    We implement IT solutions
    We implement, maintain and tailor technology solutions designed to make public- and private-sector companies more competitive.
    We install intelligence
    We turn data into useful information in order to make the way systems are managed more efficient and optimise decision-making.