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PetroAI

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About

PetroAI automates and improves current processes to produce customized shale analytics dashboards and type curve tools. It handles parent/child dynamics, delivering proprietary insights at basin scale. It integrates type curve creation, A&D evaluation, infill well placement, and development planning with one AI-powered platform. It predicts well performance for any pad design across an AOI while normalizing for well spacing, completion design, and reservoir quality. It also provides SQL connections to connect existing workflows and BI tools to PetroAI outputs. It is a fully managed application.

Platform
Web
Keywords
aianalyticsdatashaleoil and gas
Task
production forecasting

Features

type curve tools

infill well placement and development planning integration with ai platform.

a&d evaluation

type curve creation

basin-scale proprietary insights

parent/child dynamics handling

customized shale analytics dashboards

shale insights

FAQs

How do I access PetroAI?

PetroAI is a web-based application and can be accessed at https://cloud.petro.ai/. Authorized users can log in using their Microsoft credentials. If you’re a first-time user, you can get access by submitting a support ticket to support@petro.ai.

Where can I get help?

You can access support materials at https://support.petro.ai or submit a ticket to support@petro.ai. The support website also allows users to track the status of any tickets they have submitted.

How is user access controlled?

Anyone at an organization with a current PetroAI subscription can request access to PetroAI. New users will need approval from their organization admin before access is granted.

How is data organized inside PetroAI?

Source data, calculated features, and model outputs are organized into unique repositories inside your PetroAI environment. For example, an operator might have separate repositories for each basin or for each live A&D project.

What internal IT resources are needed to use and run PetroAI?

Your IT team might have restrictions on using Microsoft single sign on which will need to be enabled for PetroAI. You will still be able to log in by creating a username and password. Otherwise, no IT support is needed as PetroAI is a fully hosted and managed application.

How can I export data from PetroAI?

Users can right-click on any table and export to download a CSV. In addition, SQL database connections are available to access the underlying data behind each dashboard.

Am I able to export a full time series forecast for a given well?

Yes. PetroAI allows download and export of both the Arps parameters and monthly time series data for every prediction to facilitate further analysis.

How is data loaded into PetroAI?

Source data, such as monthly production or drilling surveys, is loaded into a SQL database hosted by PetroAI. From the source database, PetroAI picks up the data and runs it through the calculation and modeling pipeline.

Do I need to load my data or will PetroAI handle that?

Depending on where your data is located, PetroAI can help you get it loaded. If you’re loading from CSV files, you can simply drag and drop them to your PetroAI environment, and we will handle the mapping and loading.

What data does PetroAI provide, and what do I need to upload?

PetroAI does not provide any source data. You can get started with PetroAI by uploading only well data, monthly production, and drilling surveys. More advanced packages allow you to start with your internal earth model.

How do I update data in PetroAI with next month’s production data or a reinterpreted grid?

Users can set up routines to automatically push data from internal databases to PetroAI. Alternatively, users can also drag and drop these files into PetroAI and request a model update.

What is the recommended resolution for subsurface attributes provided to PetroAI?

PetroAI is flexible and can handle a range of resolutions. Our recommendation is to have grids with at least 1000m resolution (i.e. 1000m between grid points).

How does PetroAI calculate well spacing?

Well spacing metrics are calculated in stress space. The global stress map from Lund, Snee, and Zoback is used as a starting reference and the orientation of SHmax is interpolated to every well location.

How does PetroAI apply parent/child/sibling classifications?

Well interactions are calculated for each well-to-well pair by PetroAI. These pairs are automatically identified based on two configurable inputs.

Does PetroAI classify well landings, or do I need to provide that?

PetroAI automatically lands all the wells in the data set when you provide structure grids. Drilling surveys are used in conjunction with your interpreted structure grids to determine the landing interval.

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