At MariEnergies, digital transformation is a key enabler of business performance and sustainable growth.
Enterprise-wide digital platforms, automation, and advanced analytics support data-driven decision-making across energy operations.
Secure and integrated digital capabilities enhance operational efficiency, safety, and environmental performance.
MariEnergies applies digital technologies, including Artificial Intelligence (AI), Machine Learning (ML), Big Data, Graphics Processing, Business Intelligence (BI), and Data Analytics, to support its operations. An AI/ML Center of Excellence (CoE) brings together teams from multiple departments to manage AI/ML initiatives, provide technical support, and coordinate training and collaboration across the organization.
MariEnergies has implemented several initiatives in AI, Machine Learning (ML), and Business Intelligence (BI) to support operational performance. These include the deployment of AI tools to assist workforce tasks, the development of an oil pricing prediction model to support commercial planning, and the implementation of process and maintenance improvements at Sachal Gas Processing Center (SGPC), covering membrane performance, digital twin applications, and ASU foaming detection. The company also launched a digital twin e-learning platform to support technical training and continues to develop a system for identifying HSE non-conformities at SGPC.
In parallel, the organization continues to advance its Enterprise Data Management and Analytics initiative by integrating BI and AI to improve predictive analytics and automate data processing. Business Intelligence dashboards are developed to provide real-time insights to senior management and operational teams, enabling data-driven decision-making across the organization.
MariEnergies is automating key business processes to improve efficiency, consistency, and service delivery. A centralized digital portal provides enterprise-wide access to automated workflows covering human resources, administration, payroll, and health, safety, and environment (HSE) functions.
The company operates an SAP-based Enterprise Resource Planning (ERP) platform that integrates finance, HR, supply chain, and inventory management into a single system. This integration enhances data transparency, reliability, and process standardization, supporting informed decision-making across the organization.
Management oversees the ERP platform to ensure it continues to meet business needs and industry standards. Governance, structured change management, and security controls help protect sensitive information and support reliable operations.
MariEnergies supports upstream operations, including seismic data acquisition, processing, and exploration and production activities, through advanced computing infrastructure. The Mari Seismic Processing Center (MSPC) provides high-performance cluster computing for 2D and 3D seismic datasets, enabling timely and precise analysis.
The company’s private cloud hosts enterprise applications, virtual desktop infrastructure (VDI), and compute-intensive applications. This platform allows geoscientists, engineers, and data scientists to securely access systems from any location while supporting collaboration and operational continuity.
MariEnergies aligns its digital initiatives with business objectives while maintaining a focus on security and resilience. The digital framework is based on the principles of Confidentiality, Integrity, and Availability, supported by people, processes, and technology.
Digital services are designed to be secure, scalable, and reliable to protect corporate information and maintain business continuity. MariEnergies is ISO 27001:2022 certified, reflecting adherence to international information security standards.
MariEnergies maintains programs to develop digital skills across the workforce. Regular training and awareness sessions ensure employees can effectively use digital tools, follow cybersecurity practices, and adopt evolving technologies. This supports the safe and efficient operation of digital systems across the organization.