مانا بترو
PR-09متوسطةالموجة 2الذكاء الاصطناعيالمجال

تحسين تصميم المعالجة الحمضية

في جملة واحدة

Chooses which wells will actually respond to an acid job, and what volume and placement to use.

المشكلة

Acid jobs are often scheduled by rotation rather than by candidate quality. A significant share produce no measurable gain, and because post-job evaluation is inconsistent nobody learns which wells were the wrong candidates.

كيف تعمل

Candidate selection combines skin estimated from well test or nodal analysis with damage-mechanism inference from production and completion history. Treatment design — acid system, volume, diversion — is then matched against the inferred mechanism and the field’s own job outcome database.

البيانات المطلوبة

  • Pre-job well test or productivity index history
  • Completion and perforation detail, formation mineralogy
  • Historical acid job records with pre- and post-job rates
  • Water chemistry and scale analysis

ما الذي تحصل عليه

  • Ranked candidate list with expected gain and the damage mechanism identified
  • Treatment design recommendation with diversion strategy
  • Standardised post-job evaluation comparing actual to predicted gain

ما لا تستطيع فعله

Skin is an aggregate number that does not distinguish between damage types, so the mechanism inference relies on indirect evidence and is wrong often enough to matter. The candidate ranking is reliable at the top and bottom of the list and weak in the middle; we present it that way rather than as a precise ordering.

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

قدرات ذات صلة