Use of Data and Neural Analysis (DANA) to Optimize Multi-Fractured Horizontal Well Completions
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Use of Data and Neural Analysis (DANA) to Optimize Multi-Fractured Horizontal Well Completions

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Integrating Data to Optimize Multi-Frac Horizontal Wells

Integrating Data to Optimize Multi-Frac Horizontal Wells

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Use of Data and Neural Analysis (DANA) to Optimize Multi-Fractured Horizontal Well Completions Use of Data and Neural Analysis (DANA) to Optimize Multi-Fractured Horizontal Well Completions Presentation Transcript

  • Use of Data and Neural Analysis ®(DANA ®) to Optimize Multi-FracturedHorizontal Well Completions
  • Challenges of  Complex completion and methodologyMulti-Fractured  Frac cost exceeds 50% of well cost Horizontal  Need to increase efficiency to reduce cost Completions  Open hole logging is expensive and takes time  Permeability is unknown  Pay zone may not be completely penetrated  Minimal opportunity to run production logs
  • Two Very Different Modeling Processes Discrete DANA Make Assumptions Gather and Integrate Data Apply Engineering Principles Data Visualization and Analysis Develop Well Model Develop Predictive Model Evaluate Well Opportunities Evaluate Opportunities
  • Predictive DANA ® CompletionModel Input Predictive Model Outputs  BakkenWORX Reservoir  EFWORX  Production Geology  Recovery  Fayetteville Model Well  WOR Completion  Haynesville Project Frac  Marcellus Project
  • Bakken Completion & Frac Data vs. Oil Recovery # Fracs vs. EUR Proppant vs. EUR Wellbore Orientation vs. EUR Frac Volume vs. EUR
  • Bakken Reservoir Modeling SPE 133985 30% 25% Recovery at 10 Years, Cum/OOIP 20% 15% 10% 5% 5 0.5 0% Vertical 0.05 Permeability, md Vertical Fraced Horizontal 0.005 Horizontal Axial Frac Horizontal 5 Transv. 11 Orth Well Type Fracs Frac 11 Horizontal
  • Relationship Between Mud Log Gas Shows and Post-Frac Productionfor Wells with Similar Completion Approach SPE 133985 Scatter Plot Color by Completion cat 2 Minimal Compartmentalization Completion Type 18000 No Compartmentalization No frac 16000 14000 12000 IHSBest M nthOil CumBBL 10000 o 8000 6000 4000 2000 0 200 400 600 800 1000 1200 1400 1600 1800 2000 2200 Average Total Gas Avg TG
  • SMBakkenWORX Model SPE 145792 Predictor Output Butane No of Frac Treatments Total Gas Best Month Oil (BBL) Proppant Methane Oil Recovery (BBL) Staging Method & Perf Treatment Type Water /Oil Ratio (WOR) Lateral Length Treatment Volume Drilling Mud Weight Best Month Oil Cumulative Oil Recovery 30,000 700,000 600,000 25,000 Actual Best Month Oil (BBL) 500,000 20,000 400,000 Actual (BBL) 15,000 300,000 10,000 200,000 5,000 100,000 0 0 0 5,000 10,000 15,000 20,000 25,000 30,000 0 100,000 200,000 300,000 400,000 500,000 600,000 700,000 Model Predicted Best Month Oil (BBL) Model Predicted (BBL)
  • SMBakkenWORX Model Sensitivities Parameter Influence on Peak Oil Influence on Oil Recovery Butane 24.12% 17.70% No of Fracture Treatment 14.45% 13.25% Total Gas 6.13% 6.82% Proppant 3.86% 5.22% Methane -3.04% -3.50% Staging Method & Perforating 3.92% 1.73% Treatment Type 2.31% 3.19% Lateral Length 3.15% 1.05% Treatment Volume 2.49% 2.03% Drilling Mud Weight 0.42% 0.48% Controllable Completion and Frac Parameters Non-Controllable Reservoir Related Parameters
  • BakkenWORX Economic Optimization of a SMDunn County Completion Actual – 35,000 Model – 27,200 30,000 Recommendations 25,000  Well Data Best Month Oil (BBL) 20,000 − Reduce total stimulation volume 40% − Lateral Azimuth – 177 degrees. 15,000 − Reduce the number of frac stages − Lateral Length – 9414 ft. 10,000 from 40 to 30 5,000 − Avg TG – 2046, C1 - 0.45, C4 – 0.15 Recommended Completion 0  Proposed Completion/Frac 5 10 15 20 25 30 35 40 − 30 sliding sleeve frac stages Number of Frac Stages − 40 sliding sleeve frac stages − Total Proppant - 3,200,000 lb $27,000 −20/40 ceramic - 5,335,000 lb Thousands Total Proppant $25,000 20/40 ceramic − Fluid Totals - 2,400,000 gal x-link; Net Present Value $23,000 −400,000 gal linear gel Fluid Totals - 3,957,000 gal x-link; $21,000 400,000 gal linear gel $19,000 $17,000 $15,000 0 10 20 30 40 50 Number of Frac Stages
  • BakkenWORX Economic Evaluation of a SMDivide County Completion 20 Best Month Oil (M BBL)  Well Data 16 Actual – 9,595 − Azimuth – 178 degrees 12 Model – 9,200 − Lateral length – 9,495 ft 8 − Avg TG – 470, C1 – 0.36, 4 C4 – 0.08 0 15 20 25 30 35 40 45  Frac Completion Number of Frac Stages − 24 plug and perf frac stages $14,000 − Total proppant – 3,000,000 lb 40/70 Thousands $12,000 sand, 20/40 sand and 20/40 Net Present Value $10,000 intermediate $8,000 − Fluid totals – 1,400,000 gal $6,000 $4,000 x-link gel $2,000 $0 10 15 20 25 30 35 40 45 50 Number of Frac Stages
  • Summary The DANA Process and resulting predictive models are being used to improve horizontal well production and economics. DANA models are useful for: − Determine completion/frac best practices. − Estimate production for various completion and frac scenarios. − Estimate well potential in the case of sub-optimal completion/frac. − Facilitate economic optimization and decision making. − Evaluate prospects. A predictive DANA model can quickly perform optimization of a well completion and hydraulic fracture design using only data obtained during drilling of the lateral.