Enterprise Construction Cost Estimation Platform for Oil & Gas Projects

How Azati stabilized and accelerated a high-risk, calculation-intensive enterprise estimation platform with complex cross-module calculation dependencies in a multi-vendor delivery environment. The team validated pricing catalogs, coefficient logic, material-resource processes, and tender preparation for industrial infrastructure projects.

Validate your calculation workflows
2

releases delivered early with future functionality demos

Complex cross-module calculation logic

validated for enterprise tender preparation

4

core calculation and pricing modules built and stabilized

Technologies used

C#
C#
SQL
SQL
JavaScript / TypeScript
JavaScript / TypeScript
.NET Core
.NET Core
Entity Framework
Entity Framework
React
React
PostgreSQL
PostgreSQL
GraphQL
GraphQL
Kubernetes
Kubernetes
Grafana
Grafana
GitLab
GitLab

The project's specifics

The client is a major vertically integrated oil and gas organization. Their ecosystem required a centralized construction cost calculation platform for large-scale industrial infrastructures and complex tender documentation.

In a nutshell, the goal of this engagement was to implement and stabilize multiple interconnected calculation domains, dozens of pricing dependencies, and validation workflows for cross-functional procurement stakeholders.

Business challenge

Challenge 01

Complex industrial cost estimation processes and pricing dependencies

The enterprise pricing engine relied on interconnected catalogs, coefficients, material statements, and project-specific configuration rules spanning multiple procurement workflows. Even a relatively simple construction could involve long dependency chains spanning different business entities. This created risks like calculation errors and manual work, potentially leading to procurement losses.

#1
Challenge 02

Inherited functionality and multi-vendor delivery environment

Before Azati joined the engagement, another vendor had already implemented part of the functionality. Azati balanced engineering with stabilizing inherited legacy enterprise calculation logic, preserving cross-module compatibility, and enabling seamless releases. The engagement required deep immersion into existing business logic and undocumented system behavior.

#2
Challenge 03

Industry-specific operational complexity

Updating a single transportation coefficient could affect downstream calculations across material-resource estimates, exclusion rules, and tender pricing outputs. As the platform was built around dedicated Oil & Gas construction estimation methodologies, the complexity for Azati lay in operational modeling, the behavior of engineering estimation software, and enterprise cost validation. This required the Azati team to master domain-specific concepts, from coefficient logic, pricing structures, and material resource statements, to transportation costs, limited expense calculations, and tender preparation procedures.

#3

Why Azati?

Deep immersion into the regulated enterprise business logic

The engagement demanded careful validation of interconnected calculation processes where even small inconsistencies could impact procurement and construction planning. Azati brought prior experience in Oil & Gas engineering, QA, and modernization involving calculation-intensive workflows and regulated operational environments.

Enterprise delivery flexibility

Azati consistently operates inside dynamic multi-vendor enterprise delivery environments with evolving priorities, inherited features, and iterative release planning. Despite changing scope and operational complexity, the team released functionality ahead of schedule.

Strong QA and stabilization capabilities

The project required QA for calculation systems and regression validation across multiple modules, areas in which Azati QA experts have firsthand experience. During the previous engagement with this client, our regression testing revealed critical calculation instability two weeks before release, thus preventing major operational disruption.

Stabilize complex estimation platforms

Ask Azati to troubleshoot cost estimation platforms, stabilize inherited systems, and handle calculation-intensive logic.

Audit enterprise pricing processes

Solution

Enterprise construction cost estimation platform

The Azati team developed, validated, and stabilized modules powering construction cost calculations and tender preparation workflows.

Key capabilities:
  • Enterprise pricing management
  • Coefficient logic implementation
  • Cross-module calculation validation
  • Material statement processes
  • Role-based access implementation
  • Regression testing and release support
  • Construction estimation workflow modernization
  • Inherited functionality stabilization
01

Pricing and coefficient management module

Azati implemented functionality for managing pricing engine components and coefficient structures used in construction estimation workflows. The team also corrected and standardized coefficient-type naming and display-order logic, and established project-specific pricing and coefficient processes.

Key capabilities:
  • Coefficient reference directory and collections
  • Pricing catalog management
  • Coefficient type configuration
  • Bulk coefficient application
  • Pricing-to-coefficient linkage
02

Construction estimation workflows

To facilitate enterprise cost estimation and tender preparation, Azati developed modules that account for additional transportation costs for material resources, cost limitations, and exclusion flags. Selected construction types are configurable manually.

Key capabilities:
  • Initial maximum price calculation workflows
  • Additional cost management
  • Transportation cost calculations
  • Limited expense calculations
  • Manual limit configuration
  • Calculation exclusion handling
03

Material resource statement management

Azati also implemented accounting processes for material and technical resources. The system supported management of equipment, pipes, construction, and raw materials inside interconnected estimation processes.

Key capabilities:
  • Material resource statements
  • Status models for the material resource statements positions
  • Material-related cost calculations
  • Resource dependency handling
04

Enterprise calculation validation and QA

Azati's Quality Assurance team prioritized the verification and stabilization of calculation-intensive enterprise systems, ensuring accuracy across pricing variables and coefficient interdependencies.

Key capabilities:
  • Cross-module regression testing
  • Calculation dependency validation
  • Inherited defect remediation
  • Enterprise release validation
  • Acceptance testing support

What Azati did

AreaAzati contribution
Pricing managementStabilized enterprise pricing engine and coefficient workflows used across interconnected construction estimation calculations
Cost estimationDeveloped foundational calculation components
Material workflowsImplemented material resource statements and status models
Calculation logicAdded bulk coefficient application and exclusion handling
ValidationPerformed enterprise cost calculation validation across interconnected estimation processes
StabilizationStabilized legacy enterprise calculation logic and cross-module estimation behavior
DeliveryReleased two iterations early, restoring delivery predictability in a previously unstable multi-vendor environment

Operational challenges Azati encountered

Dynamic multi-vendor enterprise delivery conditions. Even under continuously evolving project priorities and scope, Azati delivered both iterations earlier than predicted, enabling stakeholders to preview functionality originally planned for future releases. Some estimation scenarios required recalculation across multiple dependent pricing entities and resource categories.

Long cross-module calculation dependency chains

Given that the construction data was distributed across multiple modules and interconnected dependencies, the logic of industrial cost estimation required difficult manual recalculation and validation. Errors could lead to significant financial losses during the tender and construction phases. Even relatively straightforward construction activities could involve:

  • Pricing references
  • Multiple coefficients
  • Transportation adjustments
  • Material dependencies
  • Construction type limitations
  • Additional expense categories

Stabilization of inherited functionality

While actively building new functionality, Azati had to reverse engineer undocumented logic that the team took over from the previous vendor. The combined QA and engineering effort secured cross-module compatibility, fixed inherited defects, stabilized processes, and maintained release timelines.

Modernize industrial estimation systems safely

Azati understands how intense your operational risks are. Our team has strong QA and CI/CD discipline, operating in regulated industrial environments, efficiently collaborating with system integration vendors and internal teams.

Derisk my estimation workflows

Major achievements

During regression validation, Azati identified inconsistencies in inherited coefficient dependency chains affecting transportation-adjusted calculations across material-resource workflows. The issue required reverse engineering undocumented logic across multiple modules before release validation could proceed.

Metric / areaBefore engagement with AzatiAfter engagement with Azati
Release predictabilityEvolving multi-vendor delivery environmentTwo releases stabilized and delivered ahead of planned release timelines
Calculation stabilityInherited defects and inconsistent logicStabilized enterprise estimation
Pricing and coefficient managementPartially implemented functionalityCentralized pricing and coefficient management modules
Material resource workflowsFragmented functionalityStructured material resource statements status and validation
Enterprise readinessOngoing development instabilitySuccessful enterprise acceptance testing support

Results & business impact

Accelerated multi-vendor enterprise delivery

Azati delivered both released iterations ahead of schedule despite evolving requirements, inherited functionality, and multi-vendor coordination. Early delivery enabled stakeholders to validate future platform processes quickly and resolved uncertainty around subsequent implementation.

Stabilized complex enterprise estimation workflows

The Azati team introduced repeatable regression validation procedures before release acceptance. We've consolidated interconnected estimation processes spanning coefficients, material statements, transportation adjustments, limited costs, and project-specific pricing structures. This improved consistency of cross-module calculations and reduced operational ambiguity during tender preparation.

Reduced risk of inconsistent enterprise construction cost calculations

Through regression testing, cross-module validation, and remediation of inherited defects, Azati improved traceability and consistency critical to avoiding potential losses.

Successful release validation and acceptance support

The implemented functionality completed release validation and acceptance for delivered iterations, enabling rollout of regulated enterprise software and future development planning.

Strategic wins

Standardized foundation for enterprise estimation platform

The delivered core components established reusable patterns for pricing references, coefficient handling, material-resource accounting, and cross-module calculation validation across future estimation workflow modernization.

Improved release confidence in a multi-vendor environment

By stabilizing inherited functionality and validating interconnected calculation chains, Azati reduced delivery uncertainty across ongoing platform development.

Continued enterprise collaboration

Successful release support and delivery execution contributed to discussions around continued participation in subsequent development phases.

Engagement & delivery

Dedicated Team model with T&M flexibility

The engagement combined long-term dedicated engineering participation with flexible delivery adjustments.

Agile enterprise collaboration

Customer demos and release acceptance were conducted every two weeks. The delivery process included daily synchronization meetings, iterative customer demos, continuous release validation, acceptance testing support, and evolving backlog prioritization.

Team composition

The engagement combined backend engineering, frontend development, QA validation, regression testing, and release support capabilities required for building industrial infrastructure estimation platforms.

The described expertise is relevant for

  • Industrial infrastructure estimation systems
  • Procurement and tender preparation platforms
  • ERP-adjacent calculation systems
  • Regulated enterprise workflow transformation
  • Multi-vendor enterprise software stabilization
  • Legacy calculation platform modernization

Related case studies

Explore our successful projects and see how Azati delivers measurable results for our clients.

Oilfield Reservoir Analytics & Well Performance Optimization Platform
Energy, Oil & Gas

Oilfield Reservoir Analytics & Well Performance Optimization Platform

10 days to redesign the computational core after critical QA findings
~1000X reduction in floating-point accumulation error
4 petroleum analytics modules delivered within 4 months
  • Python
  • React
  • PostgreSQL
  • Petroleum Engineering
  • Analytics

⚡ Pain Points We Tackled

The client required a stable, production-grade platform for petroleum analytics to handle highly complex engineering calculations involving forecasting, well interaction, optimization, and beyond. The existing analytical logic was unstable, poorly validated, and struggled with complex dependencies, creating risks that could directly affect critical production planning and operational decisions.

Our Approach

Azati built a modular, Python-based petroleum analytics platform with isolated services for production forecasting, well interaction, and engineering diagnostics. Leveraging software engineering, advanced mathematical modeling, and QA-driven validation, the platform allows specialists to process historical data and analyze complex geological dependencies despite evolving requirements.

Applied Methods and Practices

  • Modular petroleum analytics architecture: Developed isolated analytical services enabling independent deployment, recalculation, and validation of reservoir engineering without affecting surrounding modules.
  • Advanced numerical and petroleum engineering calculations: Implemented high-order mathematical calculations, iterative equation systems, physically constrained coefficient validation, and long-running analytical workloads for production forecasting and reservoir analysis.
  • QA-driven geological edge-case validation: Conducted regression, stress, and property-based testing on historical geological datasets to identify instability within extreme reservoir and salinity conditions before production deployment.
  • Computational optimization and numerical stabilization: Redesigned the platform's computational core after QA identified floating-point instability and memory management issues during pre-release validation.
  • Continuous analytical workflow refinement: Adapted engineering calculations and forecasting methodologies throughout the engagement as petroleum analytics requirements and mathematical models evolved.

Solution Features

  • Well interaction and compensation analysis: Implemented analytical services to calculate neighboring well influence, production losses, operational dependencies, and target compensation metrics.
  • Gas-oil ratio forecasting: Developed forecasting workflows using clustering algorithms, regression optimization, and predictive production modeling for oil and fluid debit analysis.
  • Production rate calculation services: Integrated and stabilized petroleum calculation engines for preprocessing well data, validating engineering parameters, and preparing datasets for production analytics.
  • Advanced reservoir analytics: Implemented hydrodynamic analysis, pressure calculations, anomaly detection, physical parameter recalculation, and engineering diagnostics generation.
  • Engineering diagnostics and validation reporting: Enabled petroleum specialists to analyze unstable calculations, geological anomalies, operational constraints, and analytical dependencies through system-generated diagnostics and validation outputs.
  • Physically constrained QA safeguards: Integrated geological edge-case validation and physically constrained calculation checks into CI/CD workflows to improve analytical stability before deployment.
Enterprise SharePoint Migration & Portal Consolidation for Oil & Gas
Energy, Oil & Gas

Enterprise SharePoint Migration & Portal Consolidation for Oil & Gas

30+ legacy SharePoint portals analyzed and classified
Hundreds of thousands pages, links, and content entities audited
+15% unsupported SharePoint customizations found beyond estimates
  • SharePoint
  • Enterprise Content Governance
  • Migration Validation
  • Portal Consolidation

⚡ Pain Points We Tackled

The client needed to consolidate a decade-old, fragmented SharePoint ecosystem with independent entities and custom components. This required a structured migration assessment to mitigate risks like undocumented dependencies and operational disruption, while adhering to harsh security requirements.

Our Approach

Azati conducted a large-scale migration assessment and validation across approximately 30 SharePoint environments. This involved establishing standardized governance (covering content classification, ownership validation, and dependency mapping) and preparing documentation packages. By combining business analysis, QA, and manual validation, Azati reduced operational uncertainty before platform consolidation.

Applied Methods and Practices

  • Legacy SharePoint inventory analysis: Analyzed legacy SharePoint environments running across different platform generations to assess portal structures, business logic, unsupported components, and migration readiness.
  • Content governance and classification: Developed standardized migration, archival, and deletion criteria to support enterprise-wide migration decision-making and reduce governance ambiguity across departments.
  • Dependency and customization validation: Identified undocumented dependencies, unsupported SharePoint customizations, and migration-critical components requiring additional validation before consolidation.
  • Functional migration validation: Validated navigation consistency, permissions structures, accessibility behavior, and business continuity after migration-related activities.
  • Enterprise documentation standardization: Prepared migration governance documentation, including mapping matrices, approval workflows, glossary documentation, technical specifications, and stakeholder coordination procedures.

Solution Features

  • Enterprise portal migration baseline: Centralized visibility into fragmented SharePoint environments, dependencies, and migration readiness across distributed portals.
  • Migration governance framework: Standardized governance model supporting migration planning, archival, deletion eligibility, and operational ownership validation.
  • Dependency and customization mapping: Structured analysis of unsupported components, undocumented integrations, and platform compatibility risks before migration execution.
  • Content inventory classification: Large-scale classification of enterprise content entities based on business relevance, operational importance, duplication risks, and migration feasibility.
  • Cross-department coordination: Processes supporting stakeholder approvals, migration prioritization, and governance alignment across distributed business units.
  • Functional validation: Validation procedures designed to reduce operational disruption risks during future enterprise portal consolidation initiatives.
SAP ERP Data Bus Integration for a Governmental Energy Corporation
Energy, Oil & Gas

SAP ERP Data Bus Integration for a Governmental Energy Corporation

2–4x increase in data transfer and processing capacity
25–50% decrease in document handling errors
100% compliance with required business protocols
  • Apache Camel
  • Spring
  • Groove
  • SOAP Web Services
  • SAP ERP Integration

⚡ Pain Points We Tackled

The client needed to optimize document generation and management across internal enterprise systems. Their existing processes relied on fragmented integrations between SAP ERP and a document generation platform, causing delays, manual overhead, inconsistent data exchange, and frequent processing errors. The client required a middleware integration layer capable of securely orchestrating the docflow while supporting different protocols, formats, and business logic requirements.

Our Approach

Azati developed a middleware data bus integrating SAP ERP with the client's document generation system. Using Apache Camel, Spring, and SOAP web services, the solution automated the docflow and enabled reliable real-time data exchange between systems. The platform standardized message processing, automated document-related operations, transformed and enriched incoming data, improved validation and error handling, and ensured secure communication between systems.

Applied Methods and Practices

  • Middleware integration with Apache Camel: Built a centralized data bus using Apache Camel and CXF to orchestrate communication between SAP ERP and the document generation system.
  • SOAP web service integration: Implemented SOAP-based services for handling document operations and system synchronization.
  • XML and JSON transformation: Developed custom processing pipelines for XML-to-JSON conversion, metadata enrichment, and downstream message routing.
  • Security and authentication controls: Implemented authentication mechanisms and protected data exchange.
  • Error validation and logging: Introduced advanced validation, descriptive error handling, and logging mechanisms for troubleshooting and workflow continuity.

Solution Features

  • Middleware data bus: Central integration hub connecting SAP ERP with the document generation system.
  • Automated document workflows: Reduced manual effort in creating, processing, and managing standardized governmental documents.
  • Real-time enterprise data exchange: Enabled stable synchronization between enterprise systems.
  • Data transformation engine: Validated, enriched, and converted messages between required formats and protocols.
  • Enterprise security controls: Protected internal data flows with authentication and controlled access mechanisms.
  • Validation and monitoring: Provided detailed logging and error detection for reliable workflow execution.
Cloud System for Oil & Gas Document Digitization
Energy, Oil & Gas

Cloud System for Oil & Gas Document Digitization

5000+ docs per hour
98.8% accuracy rate
5X cost reduction
  • Java
  • Python
  • OCR
  • GenAI
  • Data Science

⚡ Pain Points We Tackled

DIGATEX needed to digitize and structure highly complex engineering documentation spread across multiple industrial assets. Manual processing was too slow and costly for operational needs, while inconsistent document quality and strict compliance standards added significant risk.

Our Approach

A powerful collaboration with DIGATEX, an AIML disruptor for heavy industry clients. Azati helped build a custom AI-enabled system for digitizing complex engineering documents. The ISO 27001 and ISO 20000-compliant platform extracts, processes, and collates technical data from dispersed assets, including pipeline layouts, industrial plans, and maps.

Applied Methods and Practices

  • AI-enabled document processing: Automated extraction from diverse engineering document types and formats.
  • Technical-data collation: Consolidation of fragmented information into a structured, usable dataset.
  • Quality and accuracy controls: Validation flows to maintain stable extraction precision at scale.
  • Compliance-by-design architecture: ISO 27001 and ISO 20000-aligned security and service controls.

Solution Features

  • Enterprise document-digitization platform: One secure cloud environment for complex technical assets.
  • Industrial-scale throughput: 5,000+ documents processed per hour.
  • High extraction precision: 98.8% accuracy rate for mission-critical technical data.
  • Measurable cost impact: Up to 5X reduction in document-processing costs.

Last updated

Got a job for Azati? Let’s talk business!

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

What's next?

  • 1. Tell Us Your Story
    Share your project details. We'll connect within 24 hours and ensure confidentiality with an NDA.
  • 2. Get Your Roadmap
    Receive a detailed proposal with scope, team composition, timeline, and costs tailored to your goals.
  • 3. Start Building
    Azati aligns on details, finalize terms, and launch your project with full transparency.