How can field observations become reliable, reviewable information for operational decisions?
The approach
Start with operational needs and source records, working with operations, inspection, engineering, and field teams.
Validate spatial data and risk inputs, document discrepancies, and coordinate corrections.
Build and test field forms, dashboards, and mapped applications that connect records, status, and supporting evidence.
Document the workflow and unresolved items so the information stays usable and reviewable.
The outcome
My current work connects pipeline integrity information with the tools teams use to collect, review, and understand it. The workflows below describe my contributions across integrity management, field applications, dashboards, and source-record quality.
Current professional work
What I’m working on
Integrity management
DIMP & TIMP support
Contribute GIS models, verified pipeline and inspection records, and risk documentation to distribution and transmission integrity management.
Check pipeline and inspection information against source records for the Distribution Integrity Management Program (DIMP) GIS model.
Contribute to writing and updating DIMP and Transmission Integrity Management Program (TIMP) plans, including risk information and supporting documentation.
Document corrections and coordinate with operations, inspection, engineering, and field teams to resolve differences.
Supported preparation for the Railroad Commission of Texas DIMP evaluation conducted February 23–27, 2026, and participated in the March 10, 2026 executive closing.
DIMP / TIMPArcGIS Pro
Status, maps & evidence
Operational dashboards
Bring pressure-test status, pipeline locations, supporting documents, and coordinated filters together in one place for operational review.
Organize pressure-test records into date-based status categories and mapped views.
Connect pipeline-system selections to the corresponding test information and supporting documents.
Configure filters and map controls, then test record and document connections for consistent review.
ArcGIS DashboardsArcade
Field data collection
Survey123 & barcode workflows
Build structured field forms that retrieve pipeline details from barcode lookups, with photo-based evidence when scanning or matching is unavailable.
Build and test Survey123 Connect forms to collect consistent field information.
Use barcode scans and lookup tables to retrieve available pipe attributes, including size and material.
Provide a photo fallback for pipe labels and barcodes, with example images that guide field crews.
Check form behavior and saved records before releasing workflow changes.
Survey123 ConnectField Maps
Try the workflowDemonstration data
From a barcode to a reviewable record.
Explore the lookup and photo-fallback logic behind my Survey123 Connect work. This simplified example uses fictional records, not employer data or a live Survey123 form.
01 Choose a sample
02 Verify details
03 Review record
Choose a field scenario
Select a sample to simulate a barcode capture. No camera access is needed.
Verify the available details
Sample evidence added
A label illustration stands in for a field photo. Unknown attributes remain unverified.
Sample record review
Why this matters
Visitor-controlled example · Nothing is uploaded, saved, or sent. Refreshing clears the sample.
Applications for operational teams
Experience Builder & imagery requests
Connect forms, hosted layers, and mapped views in applications that help teams request imagery and review infrastructure information.
Build mapped review applications using hosted layers, filters, actions, and related documents.
Combine Survey123 Connect with Experience Builder for a structured imagery-request workflow.
Capture requested areas, cascading selections, sensor choices, date ranges, and supporting files.
Clarify requirements with users, troubleshoot application behavior, and test the complete workflow.
Experience BuilderArcGIS Enterprise
Spatial analysis & risk inputs
Class Location, HCA & MCA
Prepare spatial integrity analyses and maintain segment-level risk inputs, connecting pipeline data with environmental and consequence information.
Prepare Class Location, High Consequence Area (HCA), and Moderate Consequence Area (MCA) analyses.
Use proximity, overlay, segmentation, and exception checks to review spatial relationships.
Evaluate pipeline risk-model inputs and segmentation, with documented validation and review controls.
Maintain traceable inputs so technical teams can review the underlying evidence.
Spatial analysisRisk-model review
Asset data & source records
Data quality & document integration
Maintain pipeline and service-line datasets, reconcile work orders with mapped mains, and connect assets to the documents that support them.
Reconcile geometry, attributes, inspection information, and source evidence across ArcGIS Pro, Online, and Enterprise.
Prepare work-order and document matching tables for pipeline features, with review of uncertain matches.
Check feature–document pairs for duplicates and track missing attachments for follow-up.
Use repeatable validation checks, technical documentation, and user guidance to support consistent operational workflows.