مانا بترو
DR-03متقدمةالموجة 3الذكاء الاصطناعيالمجال

استنتاج النفاذية من بيانات فقد الطين

في جملة واحدة

Mud that disappears into the formation is telling you something about how easily fluid moves through the rock. This reads that signal instead of discarding it.

المشكلة

Loss events are recorded as operational incidents and filed. The hydraulic information in them — rate, pressure, duration, depth — is rarely used quantitatively.

In naturally fractured carbonate fields, where permeability varies by orders of magnitude over short distances, that is a large amount of free subsurface data being thrown away.

كيف تعمل

Each loss event is inverted against a radial-flow model with the observed ECD, loss rate and exposure time to produce a permeability-thickness bracket rather than a single value. Results are reconciled against core, well test and log-derived permeability where those exist.

Output is delivered as an uncertainty range per depth interval, feeding the geomodel as soft data with an explicit confidence weight.

البيانات المطلوبة

  • Daily drilling reports and mud reports with loss volumes, rates and depths
  • Real-time ECD or a calibrated hydraulics model to reconstruct it
  • Openhole logs over the loss intervals
  • Any core or well-test permeability in the field for calibration

ما الذي تحصل عليه

  • Permeability-thickness estimates with uncertainty bands, by depth interval
  • A field-wide loss-event atlas linked to structural and facies maps
  • RESQML-compatible soft-data export for the geomodelling team

ما لا تستطيع فعله

This is frontier work and we say so. The inversion is non-unique: a large loss into one open fracture and a moderate loss into a high-permeability matrix can produce the same signature. It is useful as a trend and as soft conditioning data, and it is not a substitute for a well test or a core plug.

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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