CrowdField Masterclass

The New Technical Stack

Python, AI, automation, deployment, and modern workflow systems for technical practitioners.

Founding Cohort — 20 seats only

Subsurface Workflows, Rebuilt

Across the full modern stack

Most subsurface workflows haven't changed in a decade, but the tools available to technical professionals have evolved dramatically.
AI, Python, automation, web apps, deployment tools, and interactive workflows are rapidly reshaping how technical work gets done.
This masterclass shows, step by step, how to draw from the modern stack and apply the right combination of tools to redesign real subsurface workflows for the modern era and future-proof the way you work.

Technologies we draw from
Excel VBA Power Query Python AI Claude Codex GitHub Streamlit Automation Web Apps Deployment No-Code

Not a course about any one of these. A masterclass in knowing when and how to reach for each.

Join the Founding Cohort — $299

Public release price: $499–$799. Limited to 20 participants.

Format
4 recorded sessions
One hour each. Structured, practical, workflow-driven.
No coding required
Zero prior experience needed
You don't need to be a developer. You bring the technical expertise.
Materials
Full source code + workbooks
Everything you need to follow along and apply immediately.
Access
Immediate + future versions
Early access now, plus the finalized public release and all refinements.
The Real Bottleneck

Your workflows are a decade behind the tools available to you

Most subsurface professionals still run the same manual routines built 10–20 years ago. The tools have changed dramatically. The workflows haven't.

  • Copy-paste routines across disconnected spreadsheets
  • Manual data cleaning repeated every time
  • Excel files that break when someone else touches them
  • Reports assembled by hand from multiple sources
  • Workflows only you can run, because only you understands them
  • No version control. No reusability. No scale.

A new layer of technology is now practical and accessible: Python, AI assistants, cloud deployment, web apps, automation pipelines. None of it requires a computer science degree.

The barrier is no longer access to technology. It is knowing when to use each tool, how they fit together, and how to integrate them into the workflows you already run every day.

This masterclass is about workflow orchestration. Not mastering a single tool, but learning how to combine the modern stack to build workflows that are faster, cleaner, more scalable, and easier to maintain.

What this is

Workflows first. Tools second.

Every tool in this masterclass is introduced at the moment a real workflow demands it, not as technology to study in isolation.

This is not

Generic tool-first training

  • ✕A Python or coding bootcamp
  • ✕A generic AI tools webinar
  • ✕A collection of Excel tips and tricks
  • ✕Abstract digital transformation theory
  • ✕Training designed for developers or coding experts

This is

Real technical workflows, modernised

  • ✓Tools introduced when a workflow demands them
  • ✓AI used to generate, explain, and adapt code
  • ✓Automation built without starting from scratch
  • ✓Interactive web apps deployed step by step
  • ✓Practical systems you can apply immediately

You do not need to know how to code

This masterclass is designed for practitioners who understand the work but want to modernise how the work gets done. You will learn how to use AI, Python, GitHub, automation tools, and deployment platforms as practical workflow enablers, without needing a software engineering background. That is precisely the point. The goal is to help you build faster, smarter, more scalable workflows using the modern stack now available to technical professionals, without turning you into a programmer.

AI & Automation Workflows for Subsurface Teams

Most teams aren’t short on ideas. They’re short on time to turn them into something that actually works.

We take workflows buried in Excel, scripts, and manual steps, and turn them into reliable, repeatable tools your whole team can use.

Book a discovery call
Python Node.js React
Next.js TypeScript
APIs SQL Integrations
Data Pipelines Webhooks
AI Workflows LLMs OpenAI
GPTs Agents Automation
Excel VBA Power Query
Power BI Make Zapier

The reality of how work actually gets done

Most subsurface data lives in reports, PDFs, and spreadsheets. It’s not connected, not queryable, and not usable without manual extraction.

If you work in subsurface or production, this will sound familiar:

autorenew

Recurring rework

The same spreadsheets get rebuilt every month

sync_alt

Manual data handling

Data is pulled manually from multiple sources

error_outline

Hidden errors

Small errors creep in and go unnoticed

psychology

Tribal knowledge

Someone “owns” a workflow, but it only exists in their head

Critical subsurface work deserves structured workflows, not improvised ones.

Three ways to start

Pick the engagement that fits where your team is.

Starter Build

Start here. One workflow. 8 weeks. Fixed scope.

  • We diagnose the workflow
  • We build the tool (Excel, Python, web app, or AI)
  • We train your team and hand it over

→ A working tool, delivered and owned by your team.

Bring your own use case

You know the problem. We structure and build it.

  • We scope it into a clear workflow
  • We bring the right builder from our network
  • We deliver it tested and documented

→ You bring the problem. We deliver the workflow.

Use the Build Board

Put your requirement in front of the crowd.

  • Open challenge: multiple builders compete
  • Private build: a single builder or focused team delivers
  • Exploration: compare approaches before committing

→ You choose the model. The network delivers.

Start with one workflow

The Starter Build is the fastest way to see value without committing to a broader program.
‍
A focused 8-week build. One workflow, delivered end-to-end by Alan Mourgues, O&G Consultant and CrowdField founder with 20+ years in subsurface workflows.
‍
No network to manage. No open-ended scope. Just a tool built properly.
Designed for teams who want to test this approach on a real workflow before scaling.

Step 1 — Scout

Identify the friction

Pinpoint where time is being lost and what’s worth fixing.

Step 2 — Design

Structure the workflow

Define inputs, logic, and outputs clearly.

Step 3 — Build

Build and hand over

Implement, test, and document the tool.

Start with a short call to scope the workflow and receive a tailored proposal for the 8-week pilot.

Book a discovery call

When the scope grows, we scale with the right people

For larger or more specialised builds, we bring in the right capabilities from the CrowdField network.

You still work through a single, coordinated setup that combines domain expertise, technical build, and structured delivery.

Domain Expert

Understands the subsurface workflow

Technical Builder

Designs and builds the solution

CrowdField Orchestration

Keeps everything aligned and delivered

Extended build network

We work with a trusted network of builders, dev shops, and specialists.
When needed, we bring in the right capability to deliver. You still work through a single interface.

AI Partners
Dev Shops
Data Specialists
Domain SMEs

Work with us

No big digital transformation pitch. Just fixing one workflow at a time, properly.

Why us
  • We understand subsurface workflows, not just “AI use cases”
  • We work with what you already use: Excel, Python, Power BI, simulators
  • We assess the right tech stack for your problem, and build you can audit, own, and extend.
  • We keep things tight, scoped, and practical
What this is not
  • Not a generic AI consultancy that needs to learn your domain on your time
  • Not a software vendor selling you a platform you don't need
  • Not an internal AI project that takes 18 months to deliver a prototype
  • Not a long, open-ended engagement

Led by Domain Expertise

Alan Mourgues - Reservoir Engineer | O&G Consultant | Founder @ CrowdField

✔ 20+ years in reservoir engineering across operators and consulting
✔ Founder of CrowdField, focused on practical subsurface workflows
✔ Author of "The dAIgest" newsletter on AI in O&G
✔ Host of the O&G Expert Series (webinar)
✔ Host of the AI "Builders, Agents & Workflows" podcast
‍
Additional specialists are brought in when required. You still work through a single point of coordination.

Case Studies

Examples of workflows built and delivered for real clients.
Company names are omitted for confidentiality.
‍
Each example shows a specific problem, a working solution, and a tool the team now uses in practice.

Capital Efficiency Engine

Decision Support
Capital Allocation
VIR
An Excel portfolio tool that ranks projects by Value Investment Ratio and simulates capital deployment under budget constraints. Projects are ordered from highest to lowest efficiency, with CAPEX accumulated sequentially to reveal the marginal efficiency curve. Outputs a Capital Efficiency Curve plotting VIR against cumulative CAPEX, with optional NPV overlays to identify optimal allocation cut-offs and support structured portfolio decisions.

Break-Even EMV Decision Tree

Decision Support
EMV
Break-Even Analysis
A decision tree engine for calculating the expected monetary value of a prospect or project, with user-defined NPV outcomes and probabilities for each branch. Computes the break-even probability of success so engineers can directly compare the required POS against their geoscientific assessment. Built for teams that need a defensible, auditable EMV framework rather than a back-of-envelope calculation.

Bayesian Decision Tree with VoI

Decision Support
Decision Tree
Value of Information
An Excel-based decision tree engine that incorporates Bayesian probability updating to revise outcome likelihoods as new information arrives, and calculates the Value of Information for each decision node. Enables teams to quantify how much an appraisal well, test, or study is worth before committing to it, grounding investment decisions in probabilistic reasoning.

Auto Type Curve Generator

Analysis and Reporting
Type Curve
Simulation
Uses tNav's built-in Python scripting to automate type curve generation from simulation outputs in a single click. The script post-processes well production data, applies curve normalisation, and averages across realisations to produce representative type curves without manual handling of individual well outputs.

Demand-Driven Well Scheduler

Decision Support
Well Scheduling
Production
A well scheduling engine that works backwards from a production target to determine the required drilling and completion sequence, while honouring a defined set of operating constraints. Outputs an optimised well schedule that meets the target rate profile, replacing manual iteration in spreadsheets with a systematic, constraint-aware solution.

Production Profile Bank Builder

Analysis and Reporting
Production Profiles
Economics
An Excel interface for constructing production profiles from ramp, plateau, and decline parameters while constraining recoverable volumes against volumetric inputs. Profiles are archived in a profile bank and can be retrieved for multi-scenario economic runs, giving teams a consistent, version-controlled library of production cases to draw from.

Full-Cycle Economics Workbench

Analysis and Reporting
Economics
Scenario Analysis
A comprehensive Excel economic modelling tool with a case builder for multi-scenario sensitivity runs, summary tables of key economic metrics, and a full suite of visualisation dashboards: NPV waterfall, tornado charts, 2D impact matrices, scenario bridges, and comparison plots. Built for teams that need rigorous economics and presentation-ready outputs from a single workbook.

Network Drive File Finder

Data and Automation
File Management
Search
An Excel front end backed by VBA scripting that scans network drives, builds a searchable file database, and bypasses the slow native file explorer search. Engineers locate reports, models, and data files in seconds instead of waiting on Windows search to crawl through shared drives.

tNav One-Click Results Dashboard

Analysis and Reporting
Simulation
Dashboard
Uses Python scripting inside tNav's built-in code editor to export simulation results to Excel in a single click, then feeds Power Query to post-process outputs and build a structured visualisation dashboard. Eliminates the manual export and reformatting steps that typically sit between a simulation run and presenting results to the team.

Production Profiles Dashboard

Analysis and Reporting
Type Curve
Dashboard
Uses Power Query to build a production dashboard directly from a library of production profiles or type curves stored in Excel or an external database. The dashboard updates automatically as new profiles are added, giving engineers a live visual reference for all type curve scenarios without manual chart rebuilding.

Experimental Design Workflow Manager

Analysis and Reporting
Simulation
Experimental Design
Provides an Excel front-end interface for designing and managing multi-realisation simulation workflows for experimental design, without requiring direct interaction with the simulation software beyond the console. Engineers define parameter ranges and run combinations in Excel, keeping the workflow structured and reproducible across large uncertainty studies.

Sim Deck Builder in Excel

Data and Automation
Simulation
Deck Building
Uses Excel as a structured front-end interface to generate the individual include files called by a simulator main deck. Engineers populate data in familiar spreadsheet format and the tool writes out correctly formatted .DATA sections ready for import. Removes the manual keying of simulation input sections and reduces transcription errors on large model builds.

Other Workflows You Can Deploy

These examples show the range of workflows that can be scoped and built using the same approach.
If your problem looks like one of these, it can be delivered in a similar way.

Data and Automation
Completion Diagram Digitizer
Digitize completion diagrams from PDFs into a structured well database automatically.
Data and Automation
RSM Simulation Master Database
Load all your RSM simulation outputs into a master database with a full visualisation dashboard.
Data and Automation
Document Data Extractor
Extract and consolidate data from folders of documents, presentations, and PDFs into a master database.
Data and Automation
Simulation Deck Generator
Auto-generate simulator .DATA deck sections directly from your project data files.
Analysis and Reporting
Proxy Model Scenario Engine
Run thousands of reservoir scenarios and get P10/P50/P90 outputs without waiting on full simulations.
Analysis and Reporting
On-Demand Production Report
Auto-generate executive production reports and presentations from your Excel workbook on demand.
Analysis and Reporting
Reserves Report Drafter
Draft a structured reserves report automatically from your reservoir and production input data.
Analysis and Reporting
EMV Opportunity Ranker
Rank drilling and workover opportunities by probabilistic EMV. Built for portfolio decisions.
Decision Support
One-Click Decision Pack
Generate a structured subsurface Decision Pack from scattered inputs in a single run.
Decision Support
Cross-Discipline Inconsistency Finder
Find where the geo, petrophysics, and RE story breaks down before your next decision meeting.
Decision Support
JV Report Format Translator
Generate JV partner reports in multiple formats from a single internal dataset.
Decision Support
Technical Assumption Register
Track and manage subsurface technical assumptions with owner, impact, and confidence ratings.

Start with one workflow. Expand from there if needed.

No pitch. No long cycle. Just a focused conversation around something real.

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