Resource assessment for deep sedimentary and basement reservoirs

Expected Outcome: Deep sedimentary/basement reservoirs are usually characterized by low permeability, high drilling cost and a scarcity of data, as they are typically ignored by hydrocarbon exploration. Major exploration challenges relate to predicting deep sedimentary and basement reservoir structures and properties to identify suitable locations for reservoir-independent approaches, capable of overcoming the low permeability obstacle, such as Enhanced Geothermal Systems (EGS) or closed-loop geothermal systems. Project results are expected to contribute to all of the following expected outcomes: Increased knowledge base for developers to unlock unexploited geothermal resources, increase drilling success rate, increase geothermal sources performance and reduce the risk of induced seismicity and deploy geothermal energy in a sustainable way in environmental (notably on biodiversity and po… more

1. %56
   MUSTAFA AFŞİN

   ProfesörAksaray Üniversitesi

   Shared topics: Hydrocarbon exploration and reservoir analysis · Water Quality and Pollution Assessment

2. %53
   MAHMUT TAHİR NALBANTÇILAR

   ProfesörAnkara Hacı Bayram Veli Üniversitesi

   Shared topics: Water Quality and Pollution Assessment · Hydrocarbon exploration and reservoir analysis

3. %51
   CAN BAŞARAN

   DoçentAfyon Kocatepe Üniversitesi

   Shared topics: Hydrocarbon exploration and reservoir analysis

4. %45
   ASLI ERGENEKON ARSLAN

   DoçentBilecik Şeyh Edebali Üniversitesi

   Shared topics: Geothermal Energy Systems and Applications

5. %43
   MUSTAFA ERKAN FİDAN

   ProfesörBilecik Şeyh Edebali Üniversitesi

   Shared topics: Hydraulic Fracturing and Reservoir Analysis · Reservoir Engineering and Simulation Methods

6. %43
   OĞUZ ARSLAN

   ProfesörBilecik Şeyh Edebali Üniversitesi

   Shared topics: Geothermal Energy Systems and Applications

7. %41
   SEMİR DEMİRBİLEK

   Doktor Öğretim ÜyesiHatay Mustafa Kemal Üniversitesi

   Shared topics: Hydrology and Sediment Transport Processes · Flood Risk Assessment and Management

8. %40
   MESUT ÇİMEN

   ProfesörAcıbadem Mehmet Ali Aydınlar Üniversitesi

   Shared topics: Hydraulic Fracturing and Reservoir Analysis · Reservoir Engineering and Simulation Methods

9. %40
   ÖZLEM İŞCAN

   Öğretim Görevlisi (uygulamalı Birim)Bartın Üniversitesi

   Shared topics: Hydrocarbon exploration and reservoir analysis

The fit is computed by code on every request: semantic similarity (55%) between the call text (title, EU keywords, start of the official description) and the academic’s YÖKSİS fields, keywords and OpenAlex topics, plus shared distinctive terms (45%; common words weigh little). Below 40% is not shown. A subject hint only — not an eligibility, capacity or merit assessment. Hidden profiles are never listed.