The midstream data quality problem no one talks about

This white paper examines a critical but often overlooked challenge in midstream oil and gas operations: data quality. It explores how inconsistent, fragmented and poorly validated operational data affects throughput optimization, compressor reliability, emissions reporting, cybersecurity resilience, maintenance performance and AI-enabled decision-making. The paper also examines why trustworthy field measurements are becoming a foundational requirement for modernization, operational reliability and long-term performance.

As natural gas production grows and existing infrastructure is expected to move greater volumes with higher reliability, operators are generating more data than ever from pipelines, compressor stations, storage facilities, terminals and metering systems. Yet information often remains spread across disconnected systems, instrumentation and data sources, creating visibility gaps that affect maintenance decisions, throughput optimization, emissions reporting and operational performance.

This white paper examines why data quality has become a foundational requirement for modern midstream operations. It explores the operational, compliance and reliability risks associated with inconsistent field data and highlights why AI, advanced analytics and automated optimization depend on accurate, validated information. It also includes practical insights into compressor operations, leak detection, emissions monitoring, predictive maintenance and cybersecurity.

What you'll learn:

• Why data-quality problems often remain hidden despite increased digitalization
• How measurement inconsistencies affect throughput optimization, reliability, maintenance and emissions performance
• Why AI, advanced analytics and automated optimization require trustworthy operational data
• How stronger data integrity supports operational resilience, cybersecurity and regulatory confidence
• Why data quality is emerging as critical infrastructure for the modern midstream enterprise

Download it to explore how improving data quality, consistency and usability can help strengthen operational performance and create a more reliable foundation for digital transformation and future modernization initiatives.