H
HumanityAI
Prepared for InDepth Production Solutions

A Platform Built Around Your Data. Not Around Kappa.

A flexible LAS ingestion platform that reads what's in the file, routes to the right analyses, and produces client-ready reports—without a third-party tool in the middle.

The Big Idea

InDepth's workflow is built on Kappa. It doesn't have to be.

Right now, turning a job into a client report means moving data through Kappa, Excel, and manual PDF assembly—every single time. The expertise is InDepth's. The bottleneck is the toolchain.

The new direction is to build a self-sustained platform that starts from raw LAS files and ends with a finished, client-ready report. No Kappa. No Excel copy-paste. No manual reformatting.

The platform inspects each file, detects which curves are present, decides which analyses are possible, and produces only what the data supports—automatically.

Upload the job. Review the analysis. Export the report. That's the vision.

The Problem

The current workflow is held together by external tools, manual steps, and institutional knowledge that lives only in people's heads.

Today, every report requires:

Importing LAS files into Kappa
Generating plots inside Kappa
Exporting and reformatting charts
Adjusting Excel formulas manually
Copying and pasting tables
Reassembling PDF pages
Adding well information by hand
Computing derivative temperature in Kappa
Reviewing valve depth against CCL
Identifying spinner fallback situations
Formatting and finalizing the report
1

Kappa is a dependency, not an asset

Every derived curve, every plot, every depth correction runs through a tool InDepth doesn't control and can't customize.

2

LAS files are not standardized

Some files have 5 curves. Others have CCL, gamma ray, ILS, and time fields. The workflow has to adapt—but right now it doesn't.

3

Expert knowledge is not in the system

Spinner fallback logic, valve detection rules, density interpretation—this expertise lives with Matt, not in software.

The Opportunity

Build the platform Kappa was never designed to be.

The LAS file is already the canonical data source. Every curve, every depth increment, every measurement is in there. The opportunity is to build a system that reads that data directly and routes it intelligently—without any middle layer.

Canonical LAS Parser

One row per depth increment. DEPT, ADEN, CFM, PRES, TEMP as the baseline. Resilient to schema variations across file types.

Schema Detection & Routing Engine

Inspect each file on upload. Detect which curves are present. Route to only the analyses that dataset supports—no manual configuration.

Derived Curve Computation

Calculate derivative temperature in-app. Implement CFM/ILS spinner fallback logic. No Kappa required for interpreted outputs.

Modular Report Builder

Standard plots from 5-curve files. Full GLV analysis when CCL and gamma ray are present. Customer-specific add-ons as the platform matures.

Valve Detection & Depth Control

Auto-mark valve positions when CCL and gamma ray are available. Compare detected positions against customer-supplied depths. Flag mismatches.

AI-Encoded Expertise

ADEN ~0.02 means gas. ADEN ~1.01 means water. CFM clogged means fall back to ILS for the full report. These rules go in the system, permanently.

Long-term: Upload the job data. Review the analysis. Export the report. No Kappa. No Excel. No manual assembly.

The Plan

Start with a 30-Day Sprint. Build from There.

Rather than committing to the full build upfront, we start with a focused sprint to lay the foundation and prove the approach. After that, we continue in phases based on results and priorities.

30-DAY SPRINT

Sprint Deliverables

The foundation layer: a robust parser, intelligent routing, and the first working charts and report assembly—without Kappa.

1

LAS Parser & Curve Normalization

The core engine everything else depends on.

Parse raw LAS files into structured JSON
One row per depth increment with curve values
Normalize baseline curves: DEPT, ADEN, CFM, PRES, TEMP
Handle schema variations across file types
Detect stationary vs. moving log measurements
2

Schema Detection & Report Routing Engine

Inspect the file. Decide what's possible. Build only what the data supports.

Classify file by available curves on upload
Core 5-curve files → Flowing Pressure/Temperature Plot
Core 5-curve files → Flowing Fluid Density/Spinner Plot
CCL + gamma ray present → unlock full GLV analysis
Surface pressure graphs from time-series data
3

Core Chart Generation

Direct from LAS data. No Kappa export required.

Temperature Gradient Graph
Pressure Gradient Graph
Bottom Hole Stationary Pressure/Temperature Plot
Bottom Hole Stationary Spinner/Density Plot
Surface Tubing Pressure Graph
Surface Casing Pressure Graph
4

Spinner Fallback Logic

Encode the decision rules that currently live only in Matt's head.

Use CFM as primary spinner signal
If CFM = 0, check ILS for value
If ILS has value while CFM = 0 → flag CFM as clogged
Use ILS for the full report when CFM is judged failed
Valid zero-flow vs. sensor failure distinction
5

GLV Summary Table & Report Assembly

Structured output, auto-assembled into a client-ready document.

GLV table auto-generated from up/down pass data
Valve problem detection and highlighting
Wellsite photo with watermark
InDepth disclaimer and well information pages
Table of contents, headings, and PDF export

Beyond the Sprint

The Full Roadmap

After the sprint, we continue building in phases. Priorities are set together based on what delivers the most value to InDepth's workflow.

ROADMAP
Post-Sprint Priority

Depth Control, Wellbore Integration & Advanced Curves

CCL and gamma ray-based valve detection, interactive wellbore visualization, derived curves, and pre-job planning tools.

1

CCL & Gamma Ray Valve Detection

Auto-mark valve positions from CCL and gamma ray curves
Compare detected positions to customer-supplied depths
Flag depth mismatches automatically
Recognize files missing CCL/gamma as incomplete for valve detection
2

Interactive Well Diagram with Depth Correlation

Well diagram with depth markers and valve positions
CCL reading and depth correlation tools
Stretch/compress curves to correct depth discrepancies
Kappa-quality plot appearance, built in-app
3

Derived Curve Computation

Derivative temperature (Kappa-calculated curve, computed in-app)
Differential temperature formulas
Gamma ray curve rendering
Capacitance curve support
Zone of interest zoom capability
4

Wellbore Data Auto-Population & Logging Program Generator

Auto-populate well information from uploaded data
Pre-job logging program for deployment company
Tool diagram generation with depths and steps
Time-in-hole and weight calculations
ROADMAP
Advanced Features

AI Analysis, Customer Tools & Operational Intelligence

AI-powered flow analysis trained on InDepth's expertise, customer portal, production logs, and operational management tools.

1

AI-Powered Flow Rate Analysis

Train AI on InDepth's interpretation rules and historical data
Calculate flow rates from flowmeter curves automatically
Generate analysis, conclusions, and recommendations
Pair LAS data with past outputs to improve over time
2

Production & Injection Log System

Gamma ray depth correlation for production logs
Oil/gas/water inflow/outflow tables by zone
Color-coded graphs mirroring zone tables
Designated depth interval output
3

Customer Data Portal

Secure per-customer web access to their survey data
Interactive visualization of historical jobs
Real-time data exploration interface
4

Tool Tracking & Maintenance System

Log max pressure, temperature, and depth per tool run
Track failures and correlate with run conditions
Maintenance scheduling support
5

Job Map & CRM Integration

Geographic mapping of all jobs by location
Customer job history and lease tracking
Customer relationship insights dashboard
6

Customer-Selectable Add-Ons & 3D Visualization

Modular output menu based on file type and customer need
3D pipe visualization for caliper log workflows
Full Kappa replacement path for all current workflows

Timeline

30-Day Sprint Schedule

Week 1

Data Mapping & Parser Foundation

Review LAS file variants from InDepth jobs
Map curve schemas across file types
Build canonical JSON parser
Set up development workspace
Define routing engine rules
Outcome: Working parser and clear routing logic
Week 2

Schema Detection & First Charts

Build schema detection and file classification
Implement report routing engine
Generate first live charts from real LAS data
Implement spinner CFM/ILS fallback logic
Begin job workspace and upload interface
Outcome: First visible charts generated from raw LAS files
Week 3

GLV Table, Report Assembly & PDF

Build GLV summary table with alert logic
Assemble report sections (header, disclaimer, well info)
Add PDF export with branding
Add wellsite photo with watermark
Refine based on feedback
Outcome: First complete draft report from a real job file
Week 4

Review, Refinement & Roadmap

Compare output against existing InDepth reports
Identify accuracy and formatting gaps
Document remaining work and edge cases
Prepare Phase 2 roadmap and priorities
Prepare demo environment
Outcome: Working demo and clear path forward

Investment

Start Small. Scale Based on Results.

The 30-day sprint is the entry point. After that, we continue building based on priorities and progress.

START HERE
30-Day Sprint

Foundation Build

Prove the concept. Deliver working software.

$7,500
LAS parser & schema detection
Report routing engine
Core charts from raw LAS data
Spinner CFM/ILS fallback logic
GLV table & report assembly
PDF export with branding
Full Roadmap

Complete Vision

Full Kappa replacement, built incrementally over ~5 months.

~$30ktotal
Everything in the sprint
CCL/gamma valve detection
Derived curve computation
AI-powered flow analysis
Customer portal & CRM tools
Full Kappa replacement path

Prioritized together based on what delivers the most value.

Ongoing

Maintenance & Support

Keep the system running smoothly, forever.

$1,000/month
Bug fixes & issue resolution
System monitoring & uptime
Security updates
Minor enhancements
Priority support access

Starts after initial build is complete.

How the Engagement Works

1

Start with the 30-day sprint

2

Review progress together

3

Continue building the roadmap

4

Ongoing maintenance forever

The Result

A proprietary platform that encodes InDepth's expertise and removes every external dependency.

Reports generated directly from raw LAS files
No Kappa license required for core workflows
Spinner fallback rules encoded in software
Valve detection logic that works at scale
Derived curves computed in-app, not exported
Faster turnaround on every job
Consistent output regardless of who runs the report
A platform InDepth owns and controls

InDepth's competitive advantage has always been the quality of the analysis. This platform puts that advantage into software—so it scales with the business, not just with the hours Matt has available.

Next Step

Ready to build something you own?

The 30-day sprint delivers the foundation: a working parser, a routing engine, real charts from real LAS data, and a first draft report—without Kappa. Everything that comes after builds on that.

$7,500 to start. Payment due at kickoff.