Expect better answers
Develop and produce your assets with full knowledge of the risks and rewards
Unbiased and repeatable
Our uncertainty-centric workflows honour all the available static and dynamic data
Know the value
Make every well and completion count towards increased production and improved economics
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Halliburton acquires Resoptima to enable DecisionSpace® 365 reservoir modeling and optimization.
Streamlined reservoir modelling reduces planning turnaround
Objective Identify and evaluate infill well targets in the Barents Sea Goliat Field Solution Integrate data, models and asset team insights into a repeatable workflow using a multidisciplinary reservoir modelling and…Read the case study
Ranking infill wells and adjusting the drilling schedule for optimal NPV
Objective Assess remaining reservoir volumes and identify potential infill targets Solution Combine machine learning algorithms with reservoir modelling and the knowledge of the subsurface team in one streamlined…Read the case study
Improved understanding of drainage patterns increases NPV
Objective Optimize the drainage strategy of the Olympus field under uncertainty, and compare results with the reactive control drainage strategy Solution IRMA Drainage Strategy Optimization (DSO) application – utilizes an ensemble of…Read the case study
Improved volumes estimate by incorporating drill stem test data
Objective Use static and dynamic data to better understand and estimate volumes for the Johan Sverdup field Solution Generate a large set of models capturing subsurface uncertainties using the ResX ensemble-based reservoir modelling…Read the case study
Locating enhanced-permeability streaks in a carbonate reservoir
Objective Locate high permeability rock type prior to infill drilling to avoid water breakthrough Solution Create an ensemble of models with the inherent subsurface uncertainties, conditioned to all available data while remaining…Read the case study
Optimize the drainage strategy to drill the right number of wells in the right places, ensuring the most cost-effective way to maximize ultimate recoverable reserves
Fully understand intra-reservoir permeability and fault seals to target by-passed production without risking water breakthrough
Leading in geological & reservoir ensemble modeling
We are the thought leaders and first to market in applying true ensemble-based modeling and simulation technology that delivers actionable knowledge of the reservoir.
Encompassing all static and dynamic uncertainties
While we manage millions of uncertainties in the right places across the whole workflow, all the models we create respect the entirety of the existing static and dynamic data
Conditioning 4D seismic data
The ResX 4D module enables a 4D seismic data history matching workflow. This increases utilization of 4D data for reservoir characterization. Get a better understanding of reservoir connectivity, flow barriers and bypassed hydrocarbons by using ResX with your 4D data.
The challenges we solve
Complex reservoir formations
Reservoir formations are seldom homogeneous, and formation types such as carbonates offer additional challenges. Depositional and erosional features provide additional levels of complexity.
Faults and fractures
Discrete flow barriers within a reservoir formation, often difficult to identify on seismic data, must be located and properly understood.