List of Lectra Unified Ensemble Modeling Customers
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Since 2010, our global team of researchers has been studying Lectra Unified Ensemble Modeling customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Lectra Unified Ensemble Modeling for Reservoir Simulation from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Lectra Unified Ensemble Modeling for Reservoir Simulation include: Petronas, a Malaysia based Oil, Gas and Chemicals organisation with 52157 employees and revenues of $78.90 billion, Wintershall, a Germany based Oil, Gas and Chemicals organisation with 2000 employees and revenues of $18.27 billion, Aker BP, a Norway based Oil, Gas and Chemicals organisation with 1773 employees and revenues of $6.76 billion, Neptune Energy, a United Kingdom based Utilities organisation with 1350 employees and revenues of $4.64 billion and many others.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Aker BP | Oil, Gas and Chemicals | 1773 | $6.8B | Norway | Landmark, a Halliburton business line | Lectra Unified Ensemble Modeling | Reservoir Simulation | 2021 | n/a |
In 2021, Aker BP signed a multi-year agreement with Resoptima to expand ensemble-based reservoir modelling across its Norwegian assets, including a SaaS deployment to support subsurface uncertainty modelling. Following Halliburton's 2023 acquisition of Resoptima and the subsequent integration of Resoptima ensemble technology into Landmark DecisionSpace Unified Ensemble Modeling, Aker BP's use of Lectra Unified Ensemble Modeling in the Reservoir Simulation category is inferred from that prior Resoptima agreement.
The implementation centered on ensemble modelling workflows driven by ResX and IRMA, supporting probabilistic reservoir characterization, uncertainty quantification, scenario generation, and automated model calibration. Lectra Unified Ensemble Modeling was used to standardize ensemble creation and management, and to enable reproducible uncertainty analysis across field development scenarios, aligning with typical Reservoir Simulation functional terminology for stochastic sampling and scenario orchestration.
Deployment architecture emphasized a SaaS delivery to provide centralized access for subsurface teams across Norwegian assets, enabling remote orchestration of large ensemble runs and a shared model repository for consistent inputs and outputs. Governance was structured as a multi-year commercial engagement to expand ensemble-based subsurface workflows, with phased rollout implied across assets and integration of ensemble outputs into existing subsurface decision processes.
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Neptune Energy | Utilities | 1350 | $4.6B | United Kingdom | Landmark, a Halliburton business line | Lectra Unified Ensemble Modeling | Reservoir Simulation | 2019 | n/a |
In 2019 Neptune Energy mapped its ensemble workflow usage to Lectra Unified Ensemble Modeling for Reservoir Simulation, targeting infill well ranking and schedule optimization workflows on the Gjoa field asset in Norway. The engagement extended historical ensemble workflows into a unified ensemble modeling environment to support capital allocation and drilling sequencing decisions.
Lectra Unified Ensemble Modeling was applied using ensemble based ResX and IRMA style workflows to quantify sand distribution uncertainty and to rank infill candidates by economic value. Neptune Energy used Lectra Unified Ensemble Modeling for Reservoir Simulation to centralize stochastic reservoir realizations, scenario sampling, and probabilistic ranking functions that feed drilling planning and reservoir management decisions.
The implementation reflects the integration of Resoptima technology into Landmark Unified Ensemble Modeling, therefore Neptune Energy's prior Resoptima ensemble practices are inferred to map to the Landmark UEM environment. Operational coverage focused on subsurface and reservoir engineering teams and drilling planners who consumed ranked well lists and schedule scenarios produced by ensemble runs.
Governance emphasized standardized ensemble run templates, scenario naming conventions, and decision gates that tie probabilistic outputs into well selection and scheduling workflows. The referenced case study reports improved understanding of sand distribution and NPV based drilling recommendations as the primary outcomes of applying these ensemble workflows.
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Petronas | Oil, Gas and Chemicals | 52157 | $78.9B | Malaysia | Landmark, a Halliburton business line | Lectra Unified Ensemble Modeling | Reservoir Simulation | 2025 | n/a |
In 2025 PETRONAS implemented Lectra Unified Ensemble Modeling within a Reservoir Simulation deployment led by Landmark, a Halliburton business line, to unify exploration and development workflows for PETRONAS Carigali Sdn. Bhd. The implementation is described alongside Halliburton Landmark DecisionSpace 365 Geosciences Suite, positioning Lectra Unified Ensemble Modeling as the ensemble modeling component of a broader geosciences and subsurface modeling stack in the Reservoir Simulation category.
Implementation scope centered on a unified live earth model and ensemble workflows, leveraging scalable earth modeling to preserve geological fidelity from basin scale to individual fields. Functional capabilities implemented include automated generation of multiple probabilistic geological scenarios, ensemble-based reservoir forecasting, and real-time integration of reservoir flow observations to support iterative scenario updates and probabilistic reserve estimation.
Integrations and operational coverage emphasize real-time collaboration between exploration and asset teams, a continuous data flow from exploration through development and production, and alignment with Front-End Loading project maturation processes. The deployment incorporates AI and machine learning assisted workflows to orchestrate ensemble generation and scenario analysis, and it is configured to link geoscience modeling outputs with reservoir flow inputs for synchronized forecast updates.
Governance and process restructuring focused on harmonizing workflows across exploration and development functions, instituting a single live-earth model as the authoritative subsurface data source, and enabling cross-functional asset teams to run probabilistic scenario analyses. Outcomes cited in the implementation narrative include accelerated time to first oil, faster project maturation, and improved confidence in decision-making through multi-scenario probabilistic modeling and integrated real-time data, as described by the project stakeholders.
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Oil, Gas and Chemicals | 2000 | $18.3B | Germany | Landmark, a Halliburton business line | Lectra Unified Ensemble Modeling | Reservoir Simulation | 2024 | n/a |
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