ACAE -- ESTUDIO PILOTO DE DIAGNÓSTICO DE FÍSICA DE ROCAS DEL YACIMIENTO CABALLOS EN LOS CAMPOS PUERTO COLON - LORO Y HORMIGA AREA SUR PUTUMAYO PROBLEM: Provide a rational rock-physics basis for determining the lateral heterogeneity and reservoir quality in D in formation. Seismically discriminate massive blocky sands (e.g., ), from shaley sands (e.g., ). ACAE 0 ACAE 8A 0. 0. 0 0 00 00 0. 0 000 Permeability (md) 0 0 00 00 0. 0 000 Permeability (md) APPROACH: Rock physics analysis of ~ 0 well logs and 0 core plugs
U Reservoir Quality: and Permeability ACAE Case Study. 0.0 U 000 0..0 and Velocity 0. 0 AC0 U Permeability (md) 00 0 Unit Unit Unit Unit..0 U 0.7 0 00 0 00 000 Resistivity...6.8 RHOB...0. PhiRHO 0 00 0. Role of Clay () Acae 6 Acae 9 Hormiga A Loro 9D San-Miguel 6 60 0 0. 00 80 60 0. 0 0.0 0. 0. 0
ACAE Case Study. 6 POINTS OF REFERENCE: HAN'S DATASET 0. C = 0 C = -7% C = 8-% C = 8-% Vs (km/s) C = 0 C = -7% C = 8-% C = 8-% Poisson's Ratio 0. 0. Water-Saturated 0. 0 0. 0. Clay Content Acae 8 Caliper < 8. CROSS PLOTTING with POINTS OF REFERENCE Caliper < 7 Hormiga A Caliper < 6. HAN C = 0 HAN C = 0 HAN C = 0 HAN C = -7% HAN C = -7% HAN C = -7% Density- Density- Density-
ACAE Case Study. -- Looking at Bigger Picture 9. AC Acae Highlighted are zones with caliper < 9.. AC Acae_ Depth > 9 kft Caliper < 9. 9. Acae 7 Highlighted are zones with caliper < 9.. AC 7 AC 7 AC 7 Han -8% Clay AC 0.0 Density- 0.0 Acae_7 Depth > 9. kft Caliper < 9. Density- Acae_ Depth > 9 kft Caliper < 9. Han -8% Clay 0. 0. 0 00 0 0 00 0 Acae_7 Depth > 9. kft Caliper < 9.
ACAE Case Study. -- Looking at Bigger Picture 9. AC 8 Acae 8 Highlighted are zones with caliper < 9.. AC 8 AC 8 Han -8% Clay Acae_8 Depth > 9. kft Caliper < 9. Acae Highlighted are zones with caliper < 9.. On the right: Dark-blue symbols are for log Vp plotted versus core porosity. 0.0 AC AC AC Han -8% Clay Acae_ Depth > 9. kft Caliper < 9. 0.0 Density- Density- Han -8% Clay Acae_8 Depth > 9. kft Caliper < 9. 0. Han -8% Clay 0. Acae_ Depth > 9. kft Caliper < 9. 0 00 0 0 00 0 0.
Predicting in Wells φ F = φ t + C( φ c ) ACAE Case Study.6 Dry Clay < % % < Clay < 8% All Samples No Clay VERIFYING LOG DATA BY CORE MEASUREMENTS 0. Vp Log 8% < Clay < 7% Load-Bearing Frame AC 8A AC 0.7 HR Predicted 0.0 PhiRHO ECP Core Our Core 0.0 0.0 Vp Log 0. 0.8 0. 0. 0. 0.9 0.7 Predicted.0 0 0 0. MPa 0 MPa MPa 0 MPa. 6 Predicted. 6
ACAE Case Study.7 Comment on Log Data Quality.0 0.0 0. U U Understanding rock physics helps in dealing with older data sets. 0 U.0 AC6 U. 0.70 0 7 00 0 00 0 00000 0 Resistivity..6 RHOB.0 Han -7% Clay.0 Han -7% Clay...0.0. U U U U PhiRHO. U U U U 7 PhiRHO
ACAE Case Study.8 How to Predict from Seismic -- By Integrating Core Data ACAE 8A and 0 PLUGS Poisson's Ratio 7 ACAE 8A and 0 PLUGS Log(Permeability) OIL-SATURATED ROCK 0.6 6 OIL-SATURATED PLUGS. 0.. Log(Permeability) 0 0. 0. Acoustic Impedance 0. 0-0. - 0.8 0-9 -. - 0 0.0 0.0 0.06 0.08 0. 0. 0. 0.6 0.8 0.6 8 0 0.0 0.0 0.06 0.08 0. 0. 0. 0.6 0.8 0. - 0. ACAE 8A and 0 PLUGS Log(Permeability). 0.. Poisson's Ratio 0. 0. GLAUCONITES POOR QUALITY 0. 0 The petrophysical signal for AVO lithology analysis is the lithology dependence of Vp/Vs. Inspection of Vp versus Vs trend curves for sandstones, shales, limestones, and dolomites, reveals that lithology discrimination is most robust at higher velocities where sandstones have low Vp/Vs (. -.6) and the other lithologies have higher Vp/Vs (. 7-.0). Castagna and Backus, 99-0. - 0. GOOD QUALITY -. 8 0 6 8 0 Acoustic Impedance - 8
ACAE Case Study.9 Knowing Model Helps Forward-Model Seismic Response Acae Pseudo-8A 900.6 900.6 Depth (m) 000.66.68 Depth (m) 000.66.68.7.7 depth 00 time.7.7 depth 00 time.7.7.76.76 00.78.8 00.78.8 0 00 00 0 Ip.8 0 0 distance 0 00 00 0 Ip 0 0 distance.6.66.6.66 0 Hz.68 Original.68 + % Clay.7.7.7.7 time.7 time.7.76.76.78.78.8.8.8.8 0 0 0 0 0 distance distance 9