Well Spacing Data
Well spacing and parent-child relationships are a four-dimensional problem critical to unconventional development optimization. Novi provides the most important spacing features in our database for every horizontal we cover, informed by our experience working with operators to forecast production. With Novi spacing data and machine learning software, engineers can evaluate the impact of various well spacing configurations on production rates, asset development plans, and well economics.
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Well Spacing Data
Well spacing in oil and gas refers to the distance between wells drilled in a particular oil or gas reservoir. It is an important consideration in the exploration and production of hydrocarbons because it can affect the productivity and ultimate recovery of the resource. Well spacing is determined by a variety of factors, including the characteristics of the reservoir, the type of oil or gas being extracted, and the technology being used for drilling and production.
Monthly Well-Level Production Data and Other Well Data Types
Comprehensive coverage of upstream assets, continuously updated with industry-leading datasets for production, completions, and spacing, including proprietary data at the individual well level.
Built in Collaboration With Some of the L48’s Top Operators.
Novi collaborates with some of the most technologically savvy operators in unconventional oil & gas, working to ensure that the scraping, processing, and allocating algorithms produce highly accurate results.
Data accessible through intuitive dashboards
Easily analyze well-level production and completion data with an exceptional level of detail and make informed decisions faster with intuitive dashboards
Why is well spacing data crucial in the energy industry?
Well spacing is a critical factor in understanding production drivers and is one of the most influential design inputs an operator can use to control well production. Unlike things like geology, well spacing can be adjusted by operators to optimize production. It is a critical design parameter that can have a significant impact on the productivity and ultimate recovery of oil and gas resources. The optimal spacing between wells is dependent on factors such as the geology of the area, the reservoir characteristics, and the type of drilling and completion techniques used. By carefully configuring well spacing, operators can maximize their production rates and minimize the potential for well interference or drainage between wells.
Well Spacing Optimization for Oil Well Design Completion
Novi's well spacing approach
Novi’s machine learning platform
Novi’s machine learning platform incorporates multi-dimensional well-spacing features as part of its predictive tools.
Novi’s self-service tools allow users to configure well spacing parameters, including lateral and vertical distancing and defining the radius of investigation. Users can also specify geometries and boundaries for well spacing, and Novi calculates the well spacing for each individual well in four dimensions symmetrically and in time series.
What spacing calculations are available through Novi?
Our platform also provides over 50 features tracking all of the neighbors in different zones, both lateral stagger and stack, and provides every geometric component in every dimension of those well-spacing features. Users can choose which well spacing features best represent their pad development design choices, and Novi generates accurate forecasts based on those choices.
By leveraging Novi’s well spacing calculations, operators can optimize production and improve overall operational efficiency.
Seamlessly Integrate Powerful Data Analysis into Your Workflows for Faster, Smarter Decisions
How can our data integrate into your workflows?
Benefit from our low-latency approach by utilizing our REST API, or download directly to your desktop. Out data structure has been optimized to work with analytics tools such as Tableau, Spotfire or Power BI.
Direct database connectivity
Seamlessly integrate our data with your existing systems through our robust API or connect directly with a wide range of database architectures like Snowflake.
Complete browser-based access
Explore upstream data effortlessly with our interactive web-based mapping tool (Insight Engine). Zoom, pan, and filter to find exactly what you need. Identify key energy assets and export data in various formats such as CSV
We integrate with most existing tools and workflows.
- Structured data for effortless analysis, with easy-to-scan datasets
- Full integration with Tableau, TIBCO Spotfire, or Power BI.
- REST API for a continuous update on your terms.
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