16015

14303

كارشناسي ارشد

مهندسي مخازن هيدروكربوري

اصفهان : دانشگاه صنعتي اصفهان

1399

هشت، 110ص.: مصور، جدول، نمودار

حميدرضا شاهوردي

عليرضا خزعلي

1399/08/25

كتابنامه

مهندسي نفت

مهندسي شيمي

1399/08/27

2650419

چكيده 9 درآمدي بر مفهوم دسته بندي سنگ مخزن 01 01 مقدمه 1 1 مرور پيشينه موضوع 01 2 1 سواالت پژوهش 61 3 1 اهداف پژوهش 71 4 1 جنبه جديد بودن ونوآوري پژوهش 71 5 1 معرفي مباني آزمايشات و پارامتر هاي سنگ و سيال 81 بررسي اصول كلي خواص سنگ 81 1 2 نحوه بدست آوردن نمونههاي مغزه 91 2 2 تخلخل 12 3 2 نفوذپذيري 32 4 2 فشار مويينگي 72 5 2 اندازهي خلل و فرج و اشباع سيال 53 6 2 مروري بر روشهاي تعيين كردن گونههاي سنگي و واحدهاي هيدروليكي 83 83 مقدمه 1 3 روش كالسيك يا متعارف 83 2 3 روش وين لند 53 R پيت من 93 3 3 استفاده از تراوايي به عنوان تابعي از تخلخل به تراوايي 43 SQRT 4 3 LP نمودار تغيير يافتهي چينه شناسي لورنز 43 SM 5 3 مشخص كردن واحدهاي جريان هيدروليكي از طريق مقادير نشان دهنده زون جرياني روش 45 H FU 6 3 روش طبقهبندي نوع سنگ گسسته 54 DRT 7 3 ارزيابي روش هاي پيشين براي داده ها ي ميدان مسجد سليمان 55 داده هاي آزمايشگاهي و طرح كلي انجام پژوهش 55 1 4 الگوي دسته بندي بر مبناي منطق فازي 95 2 4 دسته بندي با روش تابع فازي در متلب 06 3 4 روش 61 FZI 4 4 روش 64 FZI M 5 4 روش 67 FZI 6 4 ارائه روش هاي پيشنهادي ونتيجه گيري 07 روش نقاط انتهايي تراوايي نسبي 07 1 5 دسته بندي بر مبناي مفهوم جريان نسبي 75 FW 2 5 بررسي امكان دسته بندي همزمان پارامتر هاي ديناميك و استاتيك 87 3 5

110AbstractDetermining the reservoir characteristics is one of the important phases of reservoir studywhich has great importance in the simulation process In this field determining the staticand dynamic properties corresponding to each simulation matrix block has greatimportance Reducing the uncertainty in measuring and assigning static and dynamicparameters with high accuracy and low error can significantly match the simulationresult with the reservoir history and its actual behavior In the present study the focushas been on finding a new method to facilitate the classification of reservoir rocks andincrease the accuracy of measurement At the beginning of the work by studying theprevious methods in this field and evaluating the efficiency of each method weexamined the effect of each method Then an attempt was made to obtain a method thatis comprehensive of dynamic and static parameters Following studies and modeling weconcluded that in order to obtain a logical and scientific classification based on reservoirphysics it is necessary to introduce two types of clustering for a reservoir Since themovement of fluid in a porous medium has relation to factors such as porosity permeability viscosity relative permeability and heterogeneity of reservoir rock so it isnecessary to introduce a method based on the classification on fluid flow and modeling For this purpose we used Darcy s main relationship other relationships derived from theDarcy relationship we introduced the parameters DIFFUSION COEFFICIENT in termsof saturation Dsw and TEM True Effective Mobility The effectiveness of thesemethods was evaluated and presented in the form of relevant diagrams The diffusioncoefficient drives from modeling of cocurrent and countercurrent flow in thespontaneous imbibition process in the matrix block is presented in the sources it wasintroduced as a practical important and accurate basis in the classification of reservoirrocks Based on this it we can say that the reality of fluid flow is practically categorized In order to apply clustering and classification the fuzzy logic method was used whichhas appeared to be very efficient and useful due to the flexibility and capability of fuzzylogic in classifying applications In the end a comprehensive algorithm for classificationwas presented and all steps for each category of reservoir rock samples as input werefully operationalized and presented

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