How Azati built a scalable industrial oilfield data analytics platform for production forecasting, hydrodynamic modeling, and resource-intensive calculations under a tight 4-month deadline. The QA team prevented a major system failure, and engineers responded by safeguarding the solution with a stable computational core powering all modular analytical services.
to rebuild the computational core
reduction in numerical precision loss
oilfield analytics modules
The client is a major oil and gas enterprise that operates large-scale oilfield infrastructures where extraction efficiency depends on highly complex geological, hydrodynamic, and spatial interactions among wells.
Given the production-scale oilfield infrastructures, the client requires strict adherence to international operational standards. To them, it's mission-critical to use specialized software for oil well interaction and reservoir analytics.
The resulting petroleum analytics platform should have been able to calculate:
To provide reliable and actionable oilfield data analytics, the solution was to process a large amount of production readings:
Before Azati, internal teams struggled with maintaining timelines due to continuously evolving demands. This caused delays, as critical documentation was repeatedly revised. Additionally, mathematical complexities frequently lead to confusion over formulas. This is why it was necessary to carefully track changes in documentation to align development with the client's expectations.
Precision was critical for production forecasting, so the client needed an engineering team boasting robust math expertise:
The development team was to rule out downtime or security issues whatsoever:
The client requested an enterprise calculation platform to evaluate oil well efficiency and inter-well influence. The regulated industry software was meant to analyze precise geographical well coordinates and their geological parameters while processing production history datasets, pressure, and fluid metrics:
Azati stands out for the company's proven experience in software engineering for Oil & Gas. Over years of enterprise solutions delivery, the team has been building scalable analytical systems for regulated industries in the Petroleum and BFSI sectors, adapting quickly to changing requirements and consistently delivering on the promise under aggressive timelines.
The project required large-scale QA involvement, so Azati's seasoned QA pros made a huge difference. What helped work a real makeover was their massive background in property-based, stress, and mutation testing. The team built actionable models using real-world, not synthetic data, actively assisting in redesigning unstable analytical workflows.
Azati is often commended for the team's exceptional math mastery. Our in-house engineers' mathematical skills secured the project, and the experts were trusted not only to implement specifications, but also to optimize calculation methodologies, improve computational performance, validate mathematical correctness, and propose alternative forecasting models.
Having a legacy business-critical platform? Azati helps petroleum and other regulated enterprises modernize reservoir analytics systems, industrial calculation platforms, and oilfield optimization software.
Assess your modernization ROIAzati developed a well performance optimization solution comprising a suite of Python-based calculation modules for petroleum engineering workflow automation. The solution’s agile, modular architecture allowed independent deployment and recalculation of analytical components without affecting surrounding services.
The platform enabled petroleum specialists to upload high-volume datasets containing exact oil well coordinates. Each module generates engineering diagnostics, validation comments, calculation statistics, well anomaly reports, and operational explanations for analysts.
This helps understand why calculations failed, which geological conditions caused instability, how neighboring wells affected extraction, and where physical constraints were exceeded.
Azatians delivered an isolated Python analytical component for target compensation calculation and production loss estimation. This is one of the core engineering diagnostics modules that analyzes surrounding wells and calculates their influence coefficient.
As a more power-efficient alternative to the client's original methodology, the Azati development team proposed selective ML-assisted forecasting components. Our experts' strategy relied on clustering algorithms, data engineering pipelines, piecewise linear regression, and predictive production modeling.
Azati integrated the client's in-house prototype calculation engine into a new production-ready module to enhance its data processing capabilities.
Finally, Azati initiated development of a large-scale analytical engine that extracts actionable insights from calculation and diagnostics operations.
Additional analytical modules were initiated as part of continued collaboration. Also, Azati is currently involved in more ongoing petroleum software collaborations with the client. Future projects focus on advanced calculations within complex environmental frameworks, with emphasis on evolving scientific methodologies.
A critical breakthrough occurred just two weeks before launch. Azati's QA engineers conducted regression testing on historical datasets from carbonate reservoirs that exhibited extreme salinity levels (greater than 300 G/L). This testing revealed significant instability in the system's calculations:
Without Azati's enterprise-grade QA validation, the unstable code would have been deployed. In case the issue reached production, the client risked:
Azati's QA and engineering teams conducted memory dump analysis, mutation, stress, and property-based testing, alongside mathematical analysis and geological edge-case simulation. This rigorous validation provided a detailed engineering overview:
From production-grade QA to forecasting infrastructure to modular analytical services, Azati designs software for real operational environments. We take the heavy lifting out of your mission-critical enterprise workflows.
Consult on your operational issues| Before engaging with Azati | After engaging with Azati |
|---|---|
| Fragmented analytical logic | Modular petroleum analytics platform |
| Limited validation of geological anomalies | Production-grade QA and edge-case validation |
| Unstable long-running calculations | Stable enterprise-ready analytical services |
| Manual engineering interpretation | Automated diagnostics and system commentary |
| Inconsistent forecasting methodologies | Standardized calculation workflows |
| High operational risk | Physically constrained validation safeguards |
Azati transformed fragmented analytical workflows into modular engineering services. The project evolved from isolated petroleum calculation tools into a scalable, AI-ready analytical infrastructure for:
"The project reinforced an internal engineering principle: in systems where calculations influence physical industrial assets, testing is not merely a pre-release step but an integral part of the architecture. And the calculation error here isn't just a UI issue. It can directly affect operational output like a well that never reaches expected production."
The project operated under enterprise security standards, including:
The Fixed Price model ensured predictable delivery timelines and controlled development costs for each petroleum calculation module. Despite the highly dynamic project environment, Azati maintained clear milestone ownership and delivery accountability across all analytical services.
The Scrumban methodology was selected because the project required continuous adaptation of analytical and mathematical logic.
The hybrid Agile workflow also enabled close collaboration between business analysts, petroleum domain experts, QA engineers, mathematical modeling specialists, and software developers. The model was especially effective due to the need for:
During regression testing on historical geological datasets, Azati's QA engineers identified critical numerical instability and memory management issues that could have affected production-side analytical outputs. In response, the engineering team redesigned the platform's computational core within 10 days, stabilizing long-running calculations and preserving the planned delivery timeline without delaying UAT.
The original iterative calculation workflows accumulated floating-point precision errors under highly conditioned matrix operations and extreme reservoir scenarios. By implementing the Kahan summation algorithm and refining numerical processing logic, Azati reduced floating-point accumulation error by approximately 1000 times.
Azati's QA and engineering squad passed the user acceptance testing on the first go. The client acknowledged immediate success, specifically highlighting the system's stability when handling extreme data profiles. Our QA safeguards became co-authors of the project solutions, verifying edge geological scenarios as a mandatory gate in the CI/CD pipeline.
The modules delivered by the Azati team feature a service-oriented architecture, enabling the client to modify petroleum analytics workflows whenever business needs change. Besides enhancing operational diagnostics, the platform streamlined the efficiency of critical processes powering the oilfield infrastructure:
Following the discovery of instability under extreme salinity and reservoir conditions, Azati integrated geological edge-case validation into the platform's CI/CD workflow as a mandatory quality gate. Historical production datasets, anomaly scenarios, and physically constrained validation checks became part of the continuous testing process to help ensure stable analytical outputs before deployment.
In petroleum operations, unstable analytical outputs can directly affect production planning and well intervention decisions. Azati's QA process helped validate that engineering calculations remained physically realistic under extreme geological conditions.
The successful engagement led to a long-term partnership between Azati and the client within numerous complex engineering undertakings focused on petroleum engineering software, reservoir analytics, and oilfield optimization systems.
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