Upstream AI • Power Intelligence • BPO

AI-Driven Upstream Intelligence. From the Wellbore to the Balance Sheet.

Nikara's upstream practice brings data science rigour to every stage of the oil & gas value chain — from real-time geosteering to legacy data digitisation — and wraps it with the managed operations, staffing, and facility energy intelligence your team needs to move faster.

20%
NPT reduction via AI geosteering
100%
Data quality before well decisions
20–30%
Energy cost cut via Power Intelligence
48h
Power Intelligence go-live
The Upstream Challenge

Drilling Decisions Are Made With Incomplete, Unstructured, and Unverified Data.

Three structural failures cost E&P operators millions of dollars per well — before a single barrel is produced.

25–35%

Wells Planned on Stale Models

Geological models are updated quarterly at best. Real-time formation data from the drill bit rarely feeds back into the model — geosteering operates on educated guesses.

60–80%

Well Records Still in PDF Rasters

Legacy well documents — mud logs, LWD reports, completion cards — sit in scanned PDFs, inaccessible to any analytics platform. Decades of subsurface insight locked in paper.

$150K+

Cost of One Day of NPT

Non-productive time from wellbore instability, stuck pipe, and trajectory deviation can cost $150,000–$300,000 per day. Most operators lack the data models to predict it coming.

AI & ML Solutions

Six Tools That Turn Data Into Drilling Advantage

Each Nikara upstream tool is purpose-built for a specific data failure point in the E&P workflow — deployable independently or as an integrated stack.

Flagship
🧭

Cognitive Geosteering Advisor

Directional drillers operate with formation uncertainty between survey stations. The Cognitive Geosteering Advisor closes that gap: it processes LWD logs and formation markers in real-time and delivers a recommended trajectory update at every survey point.

  • Real-time formation proximity scoring from gamma ray, resistivity, and neutron density
  • ML model learns from each accepted/rejected recommendation per well
  • Decision confidence score with geological probability bounds
  • 20% NPT reduction in directional wells (pilot data)
  • Native plugin for Petrel & WITSML data streams
WITSML Petrel Plugin Real-Time ML
Data Recovery
📄

DigiNikara — Well Document Digitiser

Transforms scanned PDF well reports — mud logs, core analysis, completion reports — into structured, searchable database records. Zero manual re-entry. OCR + ML extraction delivers clean data in hours, not months.

  • OCR engine trained on E&P document formats (mud logs, LWD, completion)
  • Keyword extraction, formation top detection, depth-indexed output
  • Direct export to Excel, Access DB, or your petrotechnical platform
  • Handles blurry scans, rotated pages, multi-column layouts
OCR NLP Extraction Excel / DB Export
Predictive
🔮

BHDM Engine — Ahead-of-Bit Model

The Below-Bit Ahead-of-Drill Model predicts formation properties 50–150 feet ahead of the current drill bit position — giving the drilling team time to adjust weight-on-bit, mud weight, and trajectory before encountering adverse conditions.

  • Formation lithology, porosity, and pore pressure prediction
  • Well-specific calibration using offset well analogue data
  • Integrated uncertainty bands — high, mid, low-case scenarios
  • Recalibrates every survey cycle — the model gets smarter as you drill
Ensemble ML Pore Pressure Formation Prediction
Data Quality
🔍

Data Gap Management

Systematic identification, classification, and remediation of missing or low-quality data zones across an asset's well log suite — before those gaps cause a bad well decision or failed reservoir simulation.

  • Automated gap detection across multi-well LAS/LWD datasets
  • Intelligent infilling using adjacent well correlations and rock physics
  • Confidence-flagged outputs — distinguishes predicted vs. measured values
  • Compatible with Petrel, Kingdom, and standard LAS 2.0 format
LAS / LWD Rock Physics Multi-Well Correlation
QA/QC

Data QC Engine

Automated quality control applied to incoming wireline, MWD/LWD, and core data — flagging spikes, environmental corrections, depth mismatches, and calibration drift before data enters your geological model.

  • Rule-based + ML outlier detection per curve type
  • Depth-shift correction and multi-run merging
  • QC report with pass/warn/fail flags per well
  • Reduces model uncertainty by up to 40% in dense datasets
Wireline QC MWD / LWD Automated Flagging
Operations AI
⚙️

AIOPS — Operations Optimisation

AI-driven operational optimisation for producing assets — lifting equipment health, ESP failure prediction, separator efficiency, and production allocation. Keeps the producing well count up and intervention costs down.

  • ESP and rod-pump anomaly detection with 72-hour failure lead time
  • Separator efficiency scoring and recommended setpoint adjustments
  • Production allocation reconciliation across multi-zone completions
  • Integrated with SCADA, OSIsoft PI, and Petex Prosper
SCADA Predictive Maintenance ESP Analytics
Managed Operations & Staffing

The Technical Backbone Behind Every Deployment

Nikara's managed services and staffing practice means you don't need to build the team — we provide the domain experts, the operations desk, and the process infrastructure from day one.

🖥️

Service Desk & Managed Energy Operations

24/7 operations desk managing IoT device health, platform alerts, data pipeline continuity, and escalation routing — so your team stays focused on decisions, not incidents.

  • 24/7 L1/L2 support coverage
  • SLA-backed IoT device monitoring
  • Platform alert triage & resolution
  • Monthly operations report to your team
🔬

Upstream Technical Staffing

Petrotechnical professionals placed on short-term and long-term contracts — geologists, petrophysicists, drilling engineers, and data scientists who know E&P workflows from day one.

  • Petrophysicists & reservoir engineers
  • MWD/LWD field engineers
  • Data scientists with Petrel/Kingdom experience
  • Offshore & onshore deployments
📊

Energy BPO — Compliance & Reporting

Outsource the regulatory administration burden: REC procurement management, compliance reporting for 7 frameworks, energy audit coordination, and MNRE & BEE submission support.

  • MNRE REC procurement & management
  • Annual GHG Scope 2 and RE100 submission
  • BEE PAT compliance cycle support
  • Stakeholder & investor ESG reporting

Ready to Put AI Into Your Upstream Workflow?

Talk to a Nikara upstream specialist. Most pilots are scoped and contracted within two weeks.

Book a Technical Call hr@nikaralabs.com