162 - 163 |
EXECUTIVE SUMMARY ERTEKIN T |
164 - 164 |
PUBLISHING - IMPORTANT PHASE IN RESEARCH PROCESS LUCIA FJ |
165 - 174 |
AZIMUTHAL RESISTIVITY IMAGING - A NEW-GENERATION LATEROLOG DAVIES DH, FAIVRE O, GOUNOT MT, SEEMAN B, TROUILLER JC, BENIMELI D, FERREIRA A, PITTMAN DJ, RANDRIANAVONY M, SMITS JW, ANDERSON BI, LOVELL J |
175 - 184 |
GEOLOGIC AND HYDROLOGIC CHARACTERIZATION OF COALBED-METHANE RESERVOIRS IN THE SAN-JUAN BASIN KAISER WR, AYERS WB |
185 - 192 |
COMPARISON OF DIFFERENT TECHNIQUES FOR OBTAINING CAPILLARY-PRESSURE DATA IN THE LOW-SATURATION REGION MELROSE JC, DIXON JR, MALLINSON JE |
193 - 199 |
A NEW, FAST, ACCURATE PRESSURE-DECAY PROBE PERMEAMETER JONES SC |
200 - 208 |
OIL-RECOVERY BY IMBIBITION IN LOW-PERMEABILITY CHALK CUIEC L, BOURBIAUX B, KALAYDJIAN F |
209 - 212 |
CHARACTERIZATION OF DEVONIAN SHARES WITH X-RAY COMPUTED-TOMOGRAPHY WATSON AT, MUDRA J |
213 - 218 |
EFFECT OF FIRING ON PETROPHYSICAL PROPERTIES OF BEREA SANDSTONE MA SX, MORROW NR |
219 - 227 |
EFFECT OF WELLBORE STORAGE ON THE ANALYSIS OF MULTIPHASE-FLOW-PRESSURE DATA HATZIGNATIOU DG, PERES AMM, REYNOLDS AC |
228 - 236 |
TESTING INJECTION WELLS WITH RATE AND PRESSURE DATA RAMAKRISHNAN TS, KUCHUK FJ |
237 - 238 |
DISCUSSION OF USING ARTIFICIAL NEURAL NETS TO IDENTIFY THE WELL-TEST INTERPRETATION MODEL YEUNG KC, CHAKRABARTY C, WU S |
238 - 238 |
DISCUSSION OF USING ARTIFICIAL NEURAL NETS TO IDENTIFY THE WELL-TEST INTERPRETATION MODEL - REPLY ALKAABI AU, LEE WJ |
239 - 239 |
DISCUSSION OF PRODUCTION LOGGING AS AN INTEGRAL-PART OF HORIZONTAL-WELL TRANSIENT-PRESSURE TEST BABU DK, ODEH AS |
240 - 240 |
DISCUSSION OF PRODUCTION LOGGING AS AN INTEGRAL-PART OF HORIZONTAL-WELL TRANSIENT-PRESSURE TEST - REPLY AHMED U, BADRY RA |