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SR-07أساسيةالموجة 2الذكاء الاصطناعي

ضبط جودة سجلات الآبار وتخليق السجلات المفقودة

في جملة واحدة

Finds the bad intervals in the log archive and reconstructs curves that were never run, so the field has a complete set to work from.

المشكلة

In a mature field, the log archive spans forty years of tools, units, mnemonics and quality. Half the wells are missing a sonic, a third have washed-out intervals that nobody flagged, and every petrophysical study starts by rediscovering this.

كيف تعمل

Automated QC detects unit errors, depth-shift mismatches, flat-lined intervals, washout-affected sections and tool-response outliers. Missing curves are then synthesised from the available suite using models trained on wells in the same field that have the full set, with a confidence curve delivered alongside every synthetic.

البيانات المطلوبة

  • LAS or DLIS files for the field with header information
  • Caliper and bit size for washout detection
  • A subset of wells with the complete curve set for training
  • Formation tops for zonal training

ما الذي تحصل عليه

  • QC report per well with flagged intervals and the reason
  • Synthetic curves — most commonly sonic and density — with per-sample confidence
  • A normalised, unit-consistent log database ready for petrophysics

ما لا تستطيع فعله

Synthetic logs are interpolation within the field’s own statistical relationships. They must not be used to identify a feature the training wells do not contain, and they are never acceptable as the basis for a reserves booking. Every synthetic curve is mnemonically tagged so it cannot be mistaken for a measured one downstream.

كل صفحة قدرة تذكر حداً حقيقياً. إن لم يستطع المورّد إخبارك أين يتوقف منتجه، فلم يُقل لك الحق عن أين يبدأ.

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