MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02416cam a2200301 a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
EG-GiCUC |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
151202s2015 ua f m 000 0 eng d |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
EG-GiCUC |
| Language of cataloging |
eng |
| Transcribing agency |
EG-GiCUC |
| 041 0# - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 049 ## - LOCAL HOLDINGS (OCLC) |
|---|
| Holding library |
Deposite |
| 097 ## - Thesis Degree |
|---|
| Thesis Level |
M.Sc |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) |
|---|
| Classification number |
Cai01.13.12.M.Sc.2015.Mu.D |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Muhammad Ezzat Ibrahim Saafan |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Development of intelligent model for assisted gas production history matching / |
| Statement of responsibility, etc. |
Muhammad Ezzat Ibrahim Saafan ; Supervised Eissa Mohamed Shokir |
| 246 15 - VARYING FORM OF TITLE |
|---|
| Title proper/short title |
تطوير نموذج ذكى للمساعدة فى مضاهاة سلوك إنتاج مكامن الغاز |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cairo : |
| Name of publisher, distributor, etc. |
Muhammad Ezzat Ibrahim Saafan , |
| Date of publication, distribution, etc. |
2015 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
73 P. ; |
| Dimensions |
30cm |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Metallurgical Engineering |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Production data analysis is used for predicting initial gas in place, future production and reservoir parameters such as permeability and skin factor. The process of matching the production history using production data analysis is highly subjected to human errors and usually the production data doesn{u2019}t exactly fit a unique curve. Moreover, methods used in commercial softwares didn{u2019}t account for non - darcy flow effect. In this work, an integrated intelligent model has been developed to obtain the best match of production history and predict future performance of gas wells under existing conditions and altered conditions for volumetric dry gas reservoirs. This intelligent model accounts for non-Darcy flow in unsteady state and pseudo-steady state flow in the reservoir and the need for manual matching was eliminated. A hybrid intelligent algorithm, genetic algorithm (GA) and steepest ascent hill climbing, was implemented in the developed intelligent model to obtain the best match of production history. The developed model was validated by using two cases. The results from both cases indicate that the new developed intelligent model is powerful tool for obtaining the best match of production history and predicting initial gas in place and reservoir parameters |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
|---|
| Additional physical form available note |
Issued also as CD |
| 653 #4 - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Decline curve analysis |
| 653 #4 - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Production optimization |
| 653 #4 - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Type curve matching |
| 700 0# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Eissa Mohamed Shokir , |
| Relator term |
|
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
|---|
| Cataloger |
Nazla |
| Reviser |
Revisor |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
|---|
| Cataloger |
Samia |
| Reviser |
Cataloger |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Thesis |
