Rebuild real engineering workflows across the modern stack, end to end: structured Excel and Power Query, AI copilots, Python engines, web apps, then tools you deploy and version on GitHub.
You build something that runs in every module, using real reservoir-engineering workflows: decline curves, production data, forecasting, economics and Monte Carlo. You finish with two complete case studies: PVT correlations and relative permeability.
The full course is released as 18 video lessons, over 12 hours in total, with accompanying notes and all files and source code. Built for subsurface professionals who know the workflows and want their tooling to catch up. No coding background needed.
Premium members pay 30% less. Lifetime members already have it. See pricing
Python, AI assistants, Power Query and browser apps are all within reach of a working engineer today. None of it needs a computer science degree.
What is missing is the order of operations: which tool a workflow actually needs, how the pieces connect, and how to fold them into the work you already do 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.
This is the kind of thing you build. The same Monte Carlo volumetrics model: the nth Excel version buried on your computer on one side, a polished live web app on the other, both driven by the same inputs. Drag the divider.
Every module ends with something that runs, and the course closes with two end-to-end case studies on PVT and relative permeability.
You keep every file, prompt, script and line of code, so you rebuild each one yourself, then point it at your own data.
Tables, LET, dynamic arrays, LAMBDA and form controls, with a first look at VBA. The clean base the rest of the course is built on.
Clean monthly production, reshape forecast tables, load both into the data model, then drive pivot tables, charts and slicers from it. No more manual rebuilds each month.
Prompt AI to write, explain, modify and debug Excel formulas, Power Query and VBA, then move from copilot to agent. Every prompt and output is in the notes, ready to reuse.
Move the calculation out of the spreadsheet into Python, while keeping Excel as the place where inputs, review and reporting still happen.
Wrap the decline curve forecast engine in a Streamlit app with controls and live charts, so a colleague can run it in a browser without touching the code.
Beyond Streamlit: economics and Monte Carlo tools built as browser apps, with AI doing most of the coding and you directing the engineering.
Put the project on GitHub, deploy it and share it, so the tool stops living in one local spreadsheet on one machine and starts being something a team can use.
The full method run on PVT correlations, start to finish: workflow design, the engine, the app, and a working tool you can hand over.
A second complete build on relative permeability, the same path from spreadsheet logic to a deployed, shareable tool.
The full course is released, 18 lessons and over 12 hours of video. Focused sessions, each on one step of the workflow. Work through them in order the first time, then come back to the parts you need.
How the course is laid out, the stack it uses, and how to get set up with the files.
Rebuild the spreadsheet itself, then a Power Query pipeline that takes raw production data through to a scenario dashboard.
Use AI to write, explain and debug the work, then move the calculation into Python while Excel stays the front end.
Turn the engine into a tool other people can use, first in Streamlit, then as AI-built web apps.
Put what you built on GitHub, deploy it and share it, then run the whole method end to end on two reservoir engineering case studies.
Example workflows used across the course include decline curve analysis, production data processing, forecasting, economics, Monte Carlo, PVT correlations and relative permeability.
Sign up using the same email address you use for your purchase, then access the course through the CrowdField member portal.
Each lesson is a short recorded video available in the portal. Pause, rewind and return to any step whenever you need to.
Download the workbook, dataset, query, VBA module and Python files used in each lesson, together with written notes and the exact AI prompts used.
Follow the example workflow first, then apply the same pattern to your own wells, datasets and reports.
What you need: Excel for Windows desktop. Some workbooks use VBA macros and ActiveX controls, which Excel for Mac does not support. From Module 2 onward, you will also use Python and an AI coding assistant. Working subsurface knowledge is the only prerequisite.
Reservoir Engineer · Founder, CrowdField · Brisbane
This course is the path I took as a reservoir engineer, put in order and cleaned up. The tools in it exist because the work in front of me needed them, not because I set out to write software. The method stays the same the whole way through: start with the workflow, reach for the tool it calls for, and keep every number something you can check yourself.
After 24 years of simulation work I have learned to be sceptical of tools that promise more than they deliver. CrowdField is one of the few places where the gap between knowing about AI and actually applying it to subsurface work gets closed, and Alan is guiding a generation of reservoir engineers across it.
Pay once for the full course, yours for good. If you are already a CrowdField member, check your route below before you buy.
Self-paced. Start today.
Buy the courseAfter checkout, create your portal login with the same email. The whole course, Modules 0 to 4, is open from day one.
Premium ($30/month) includes 30% off all courses and master classes.
Compare memberships →Lifetime ($990 one-time) includes this course and every current and future CrowdField master class and course, plus the full tool library with source code. Capped at 25 founding seats, and it closes for good once they are gone.
See Lifetime →No. Working subsurface knowledge is enough. The course shows you how to use AI, Python and Power Query inside workflows you already understand. You read and check the code, and AI does most of the typing.
Self-paced. Every lesson is a recorded video in the member portal, with the files and notes alongside it. There are no live sessions to attend.
The four topics are the same. While building it, I split them into short lessons, one step each, which is easier to follow and easier to come back to. The full course is now 18 lessons plus 2 case studies, from a cleaner Excel workflow through to a tool deployed and versioned on GitHub.
Yes. All four modules are released, including Module 4: GitHub, deployment and distribution, the end-to-end workflow builds, and the PVT and relative permeability case studies. You get all of it the day you buy.
Excel for Windows desktop. Some workbooks use VBA macros and ActiveX controls, which Excel for Mac does not support. From Module 2 you will also use Python and an AI assistant.
Possibly. The course is aimed at engineers earlier in that shift. If you already write Python, the value is in the workflow design, the AI-assisted build approach and how Excel, Python and apps fit together, more than in the Python itself. Read through the curriculum and decide.
Create a login in the CrowdField member portal using the same email you paid with. You'll get instructions in your welcome email.
Yes. Founding members keep full access, at no extra cost. Use the same portal login.
Lifetime members already have it, so there is nothing to buy. Premium members get 30% off all courses and master classes. Essentials (free) members pay the full $599.
The course is sold to individual practitioners. If you want a workflow built or rolled out for a team, that work is done through moREc.
Something else? Email alan@crowdfield.net.
Start with one workflow you run every month. Rebuild it once, properly, deploy it, and share it as a web app where the rest of your team can use it.
Buy the course, $599Self-paced · 18 lessons · Premium 30% off · included with Lifetime
