Skip to content
Conference

Smart PetroDesk: An Integrated Browser-Based Workbench for Petroleum and Reservoir Engineering Workflows

Aug 2026 · SPE Nigeria Annual International Conference and Exhibition · 0 citations · 10 references

TL;DR

Smart PetroDesk is presented, an integrated suite of browser-based applications built to support day-to-day petroleum and reservoir engineering tasks within a single working environment, and shows measurable gains in efficiency and consistency relative to spreadsheet-based practice.

Abstract

Petroleum and reservoir engineers routinely perform well design, production surveillance, decline curve analysis, forecasting, and reserves estimation using toolchains that combine spreadsheets, desktop software, and ad hoc scripts. The lack of integration across these tools reduces analytical transparency, increases rework, and introduces data quality risk at each handoff point. This paper presents Smart PetroDesk, an integrated suite of browser-based applications built to support day-to-day petroleum and reservoir engineering tasks within a single working environment. Smart PetroDesk brings together lightweight browser visualization and a Python analytical backend to cover end-to-end workflows: wellbore and casing design, production data ingestion and quality control, decline curve analysis, production forecasting, reserves back-allocation, and regulatory reserves reporting. Data quality is enforced at the point of ingestion through schema validation, range checks, business-rule enforcement, and cross-file consistency checks. Decline model fitting covers the full Arps suite (exponential, harmonic, and hyperbolic), using objective goodness-of-fit selection and explicit abandonment criteria. Application across representative engineering workflows shows measurable gains in efficiency and consistency relative to spreadsheet-based practice. By housing established petroleum engineering methods in a modular, extensible platform, Smart PetroDesk offers a practical foundation for production and reserves work and a clear upgrade path toward broader digital oilfield capability.

View source

Similar papers

Conference Aug 2026

PERD Client Library for Aggregating Siloed Petroleum Data, Enabling Elastic On-Demand Simulation Workspaces, and Reducing Foreign Software Dependence in Nigerian Oilfield Operations

Nigeria's oil and gas sector continues to face a persistent digital bottleneck: valuable subsurface and production data remain difficult to access, costly to acquire, and tightly constrained by proprietary controls, while advanced simulation and analytics ecosystems are still largely dependent on imported platforms....

Chinedu Simeon Nwachukwu, Ame Enosolease, Taiwo Seun et al. · 0 citations
Open access Sep 2026

Serverless Data Engineering: Innovations in Python-Driven ETL Automation on AWS

Traditional cluster-based ETL architectures impose a structural tax on data engineering organisations: fixed compute resources provisioned for peak demand, scheduled batch cycles that introduce latency regardless of downstream urgency, and operational overhead that redirects engineering capacity from pipeline design to...

Rambabu Bolineni · 0 citations
Open access Sep 2026

Cloud-Ledger Railways for regulated banking microservices

This paper presents a cloud-native blueprint for high-throughput, compliant banking workflows by modeling each transaction, KYC check, and payment orchestration as a verifiable trace graph across microservices running in hybrid and multi-cloud environments. It introduces a method to aggregate structurally similar trans...

Naga Vyshnavi Konduri · 0 citations
Open access Aug 2026

Intelligent Business Integration With AI

An artificial intelligence-enhanced middleware pattern that augments existing integration stacks with telemetry, stream processing, and a lightweight learning loop to predict failures, automatically tune policies, and direct traffic in real time is presented.

Tejas Gajjar · 0 citations
Open access Sep 2026

A Durable, Python-Native Orchestration Architecture for Enterprise Automation

Enterprise automation has outgrown the platforms that built the category. Robotic process automation (RPA) suites such as UiPath, Automation Anywhere, and WorkFusion were designed a decade ago around record-and-replay bots and heavyweight, often Java-based, orchestration consoles. They remain dominant, but engineering...

Aryanjeet Singh, S. Rathod, Pradnya Suryawanshi · 0 citations
Conference Aug 2026

Integrating Observability, DevSecOps, and Policy-as-Code for Enterprise Cloud Reliability

Modern enterprise cloud infrastructures need to be able to deliver software quickly, remain operationally resilient and follow strict regulatory requirements. Through traditional operations, observability, security and governance are typically treated as separate processes, which leads to longer Mean Time To Repair (MT...

Vishwa Lakhnakiya · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.