Construction of carbonate reservoir knowledge base and its application in fracture-cavity reservoir geological modeling

Abstract To improve the efficiency and accuracy of carbonate reservoir research, a unified reservoir knowledge base linking geological knowledge management with reservoir research is proposed. The reservoir knowledge base serves high-quality analysis, evaluation, description and geological modeling of reservoirs. The knowledge framework is divided into three categories: technical service standard, technical research method and professional knowledge and cases related to geological objects. In order to build a knowledge base, first of all, it is necessary to form a knowledge classification system and knowledge description standards; secondly, to sort out theoretical understandings and various technical methods for different geologic objects and work out a technical service standard package according to the technical standard; thirdly, to collect typical outcrop and reservoir cases, constantly expand the content of the knowledge base through systematic extraction, sorting and saving, and construct professional knowledge about geological objects. Through the use of encyclopedia based collaborative editing architecture, knowledge construction and sharing can be realized. Geological objects and related attribute parameters can be automatically extracted by using natural language processing (NLP) technology, and outcrop data can be collected by using modern fine measurement technology, to enhance the efficiency of knowledge acquisition, extraction and sorting. In this paper, the geological modeling of fracture-cavity reservoir in the Tarim Basin is taken as an example to illustrate the construction of knowledge base of carbonate reservoir and its application in geological modeling of fracture-cavity carbonate reservoir.

[1]  Lu Xinbian SEVERAL PROBLEMS IN STUDY OF DEVELOPMENT PROGRAMME OF ORDOVICIAN CARBONATE RESERVOIRS IN TAHE OILFIELD, TARIM BASIN , 2003 .

[2]  Hou Jiagen Key Issues of 3D Geological Modeling of Paleokarst-Cave Carbonate Reservoir , 2013 .

[3]  Fan Zhihui Developmental pattern and distribution rule of the fracture-cavity system of Ordovician carbonate reservoirs in the Tahe Oilfield , 2011 .

[4]  Jin Qian Investigation of fracture-cave constructions of karsted cabonate reservoirs of Ordovician in Tahe Oilfield,Tarim Basin , 2013 .

[5]  Liu Wei Building Geological Knowledge Database Based on Google Earth Software , 2012 .

[6]  Haijun Yang,et al.  Characterization and evaluation of ultra-deep fracture-pore tight sandstone reservoirs: A case study of Cretaceous Bashijiqike Formation in Kelasu tectonic zone in Kuqa foreland basin, Tarim, NW China , 2014 .

[7]  Zhang Xi-ming Reservoir description and reserves estimation technique for fracture-cave type carbonate reservoir in Tahe Oilfield , 2004 .

[8]  Sinopec Northwest A study of the paleo-cavern system in fractured-vuggy carbonate reservoirs and oil/gas development——taking the reservoirs in Tahe oilfield as an example , 2010 .

[9]  S. Agar,et al.  Modelling and simulation of a Jurassic carbonate ramp outcrop, Amellago, High Atlas Mountains, Morocco , 2014 .

[10]  Sinopec Exploration Controlling factors and genetic pattern of the Ordovician reservoirs in the Tahe area,Tarim Basin , 2010 .

[11]  R. Goldstein,et al.  Workflows for incorporating stratigraphic and diagenetic relationships into a reservoir-analogue model from outcrops of Miocene carbonates in SE Spain , 2014 .

[12]  Li Yang The theory and method for development of carbonate fractured-cavity reservoirs in Tahe oilfield , 2013 .

[13]  W. Ying,et al.  Three-dimensional geological modeling of fractured-vuggy carbonate reservoirs: a case from the Ordovician reservoirs in Tahe-IV block, Tahe oilfield , 2013 .

[14]  Ting Ye,et al.  Design and implementation of ontology-based knowledge base system for marine hydrocarbon geology: Design and implementation of ontology-based knowledge base system for marine hydrocarbon geology , 2010 .

[15]  R. Shekhar,et al.  Fracture analysis in the Amellago outcrop and permeability predictions , 2014 .