{"id":10,"date":"2026-07-06T10:27:41","date_gmt":"2026-07-06T15:27:41","guid":{"rendered":"https:\/\/petroanalysis.llc\/?page_id=10"},"modified":"2026-07-06T11:27:31","modified_gmt":"2026-07-06T16:27:31","slug":"about","status":"publish","type":"page","link":"https:\/\/petroanalysis.llc\/?page_id=10","title":{"rendered":"About"},"content":{"rendered":"
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About PetroAnalysis<\/h2>\n

PetroAnalysis is a data consulting practice focused on upstream oil and gas. We work where data engineering, analytics, and field operations meet, on the premise that upstream data problems rarely yield to generic, off-the-shelf approaches.<\/p>\n

We help E&P companies across the major U.S. basins turn raw operational data — from sensors, SCADA, historians, well logs, and production databases — into reporting and analysis that stands up in drilling, completions, and production decisions.<\/p>\n

The technical side matters, but so does knowing how a field actually runs. We build for solutions that survive contact with real operations, not ones that only look good in a proof of concept.<\/p>\n<\/div>\n

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Our Approach<\/h2>\n
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<\/svg> Data Quality First<\/h3>\n

Analytics are only as good as the data underneath them. We start with the unglamorous work: cleansing, validating, and reconciling data from different systems before anyone builds a chart on top of it. Get that right and the conclusions hold up when money is on the line.<\/p>\n<\/div>\n

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<\/svg> Domain-Informed Analytics<\/h3>\n

Reservoir behavior, equipment mechanics, and the everyday realities of field work shape how we model and report. We build around how the business actually runs, not around whichever technique happens to be fashionable.<\/p>\n<\/div>\n

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<\/svg>\ufe0f Responsible Use of AI<\/h3>\n

We apply AI and machine learning to specific jobs: automating data cleanup, spotting anomalies, forecasting production, and giving people a plain-language way into complex datasets. A person stays in the loop to check the output, because a wrong answer delivered confidently is worse than no answer at all.<\/p>\n<\/div>\n

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<\/svg> Knowledge Transfer<\/h3>\n

We would rather leave you self-sufficient than dependent. That means working alongside your team, documenting as we go, and training the people who will run the system after we are gone.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Our Expertise<\/h2>\n
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Data Challenges We Address<\/h3>\n
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  • Noisy, inconsistent readings from downhole and surface sensors<\/li>\n
  • SCADA and historian systems that don’t talk to each other<\/li>\n
  • Reporting that still lives in hand-built spreadsheets<\/li>\n
  • Little or no real-time view of what’s happening in the field<\/li>\n
  • Operational and financial data that won’t line up<\/li>\n
  • Data you’re paying to collect and barely using<\/li>\n<\/ul>\n<\/div>\n
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    Technologies We Work With<\/h3>\n
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    • Spotfire and Power BI for analytics and visualization<\/li>\n
    • AVEVA PI System and OPC for historian and real-time data<\/li>\n
    • SQL and relational databases (SQL Server, PostgreSQL, Oracle)<\/li>\n
    • Python and modern ETL\/ELT tooling<\/li>\n
    • Cloud data platforms: Azure, AWS, and Snowflake<\/li>\n
    • ML with scikit-learn and XGBoost, plus language models for data automation<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

      About PetroAnalysis PetroAnalysis is a data consulting practice focused on upstream oil and gas. We work where data engineering, analytics, and field operations meet, on the premise that upstream data problems rarely yield to generic, off-the-shelf approaches. We help E&P companies across the major U.S. basins turn raw operational data — from sensors, SCADA, historians, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-10","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/petroanalysis.llc\/index.php?rest_route=\/wp\/v2\/pages\/10","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/petroanalysis.llc\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/petroanalysis.llc\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/petroanalysis.llc\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/petroanalysis.llc\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=10"}],"version-history":[{"count":0,"href":"https:\/\/petroanalysis.llc\/index.php?rest_route=\/wp\/v2\/pages\/10\/revisions"}],"wp:attachment":[{"href":"https:\/\/petroanalysis.llc\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}