مانا بترو
DR-07متوسطةالموجة 3الذكاء الاصطناعيالمجال

تحسين تصميم سائل الحفر

في جملة واحدة

Recommends the mud formulation for the next section based on what worked in comparable sections, and what it cost.

المشكلة

Mud programmes are inherited from the last well and adjusted by habit. The link between a rheology choice and the hole-cleaning or stability outcome is rarely quantified after the fact.

Fluid is one of the three largest line items on a well AFE, and additive spend is where most of the waste sits.

كيف تعمل

A case-based model matches the planned section against historical sections by lithology, angle, hole size and temperature, then ranks the fluid systems used by their measured outcome: stability events, hole-cleaning index, dilution volume and total additive cost.

Recommendations are presented as a comparison table with the evidence behind each, not as a single prescriptive answer.

البيانات المطلوبة

  • Historical mud reports with full rheology, solids and additive consumption
  • Section outcomes: losses, stability events, stuck events, dilution and discard volumes
  • Offset lithology and temperature profiles
  • Additive pricing from the supply contract

ما الذي تحصل عليه

  • Ranked fluid system options with expected cost and risk for the planned section
  • Additive consumption forecast and a dilution plan
  • Post-section reconciliation of planned versus actual fluid cost

ما لا تستطيع فعله

The model is only as good as the mud reporting discipline in the archive, which in most operators is weak: additive volumes are frequently reported to the nearest sack and dilution is under-recorded. We assess the archive before committing to a confidence level, and in several fields the honest answer has been that the data does not support this capability yet.

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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