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  PhD. Dissertation

>> 2006,Shi Dong,Hydrocarbon Reservoir Evaluation Method Based on GIS


Abstract

With the great development and wide application of spatial informational echnologies,methods and technologies of reservoir which is a mainly object in hydrocarbon exploration are striding forward in the informational direction. Through many years oil-gas exploration,rapid development and wide application are obtained at many kinds of technologies and methods. The speed and quantity of information collection and accumulation of data go up rapidly with accumulating over a long period. But using level of the data is lower than its piling rate. The reservoir evaluation relate to kinds of subject including geology, well logging, seism and exploiting dynamic data. Application data has wide overlap. Data information size is great. Data type is complex and multiplicity. In face of legion and complex information, How to available store and manage these data, mining usage evaluation knowledge from the data is currently nodus and hotspot of the ydrocarbon reservoir evaluation.

 Geographical Information System(GIS) is an availability technology and method, its pattern of software is striding forward to “serve and application” from “system and function”. It can exert great promote action at the aspect of settling problem on research method and technical means in petroleum system for a long time. Reservoir has inherent spatial characteristic. Reservoir synthetical evaluation need deal with their locating data and correlating attribute data at the same time. Screening favorable area of oil-gas is finally aim of reservoir evaluation, relating to all kinds of factors correlating to spatial position. For many years, Oil-gas Reservoir evaluation is all along short of a unite flatform that can cooperate with many subjects, knowledge of multi-disciplinary can’t conform well. Oil-gas explorers manually or compute-aided drafted various thematic maps that served to solve association the spatial location of what is being processed with its related attributes, the evaluation results is difficult to visual expression. GIS has the predominance of location-based multi-attribute processing and spatial analysis. Abundance spatial information can be afforded and reservoir evaluation is sustained by its spatial analyzed.Aimed the problem of weak simulation and consequence, This paper put the emphases on expanding spatial analysis function of common software platform, building up increment application of reservoir spatial data, so as to meet the demands of reservoir evaluation andrealize visualization and intelligentization of oil-gas reservoir evaluation.

 At the start of the currently nodus and hotspots of the hydrocarbon reservoir evaluation, basic approaches and solution schemes of evaluation are explored. It is clear that hydrocarbon reservoir evaluation method based on GIS is process that using basic function of GIS and strengthen analyze function bring to success of evaluation. Its ultimate task is expanding spatial analyze function of GIS, enhancing increment application of evaluation data, meeting needs of evaluation, realizing integrated and intelligent evaluation. Hereby, system constitution and its characteristics of evaluation are put forward. The basic frame of evaluation method is built. It is clarified that the process of evaluation is a cognized course of spatial decision support in fact. Viz., it is a process from data to information and to knowledge. At last, three pivotal problems in research on reservoir assessment with GIS need to be settled that evaluation data is integrated and managed, data mining and visual expression are put forward.

 On the basis of analyze of the reservoir evaluation multidisciplinary data’s origin, type and characteristic, existing problems in the process of GIS-based reservoir evaluation are taken apart. And then standardization disposal content and method of the data are put forward. Finally, the data model of evaluation database is given. Organized structure and manner of the data in the evaluation database are analyzed. According to the principle of data bed, the mixture organizing manner method of document and database in database of the GIS-based reservoir evaluation is adopted, managing system data by way of double files. Using this manner organize and manage data of reservoir. Establishing step of the database is stated.

 Oiliness evaluation of reservoir, heterogeneity study on reservoir and classified evaluation are three main contents of the reservoir synthesize evaluation. At the start of spatial data amalgamation and data mining, the problem of reservoir synthesize evaluation is settled by expanding spatial analysis function of GIS using amalgamation GIS with expert knowledge in the field of oil-gas reservoir evaluation. It is a process of spatial knowledge discovery and data mining. It sums up a modeling problem of the GIS-based reservoir evaluation. The integration of GIS with mathematic modeling methods of the reservoir synthesize evaluation evaluates reservoir under the unite user interface in this paper, realizing deeply mining to the reservoir data. In this dissertation, mathematic modeling methods of the reservoir evaluation is studied. GIS-based Grey reservoir oiliness evaluation model, heterogeneity evaluation model, classified evaluation model and their implementation flow are built. A new analysis approach of reservoir synthesize evaluation is provided.

 Finally, taking example for the GIS-based reservoir synthesize evaluation in Chang Xi oilfield, using user-oriented, opening, flexible programming methods, making use of SuperMap Objects component GIS, a simple the GIS-based reservoir synthesize evaluation prototype is principle designed and exploited. The system structure, function design and evaluation are established. The three core subprograms that are Oiliness grey evaluation, heterogeneity grey study on reservoir and classified grey evaluation is the integration of GIS with mathematic modeling methods of the reservoir synthesize evaluation, concretely realization of the GIS-based reservoir synthesize evaluation. The basic function module of GIS can visual express the results of evaluation. The dissertation applies the research thinking and methods of the GIS-based reservoir synthesize evaluation to the Jurassic reservoir evaluation in Chang Xi oilfield. The optimal oil-gas accumulation area is found. It validates the validity and feasibility of the method presented in the paper. The research results indicate that the qualities of the Jurassic reservoir are dominated by construction. Good reservoirs lie to an advantaged nose protrusion, nearly relating to the distribution of sedimentary micro-facies. The reservoir that lies on the main position in the riverway has better gathering characters. Because argillaceous content is increase and the porosity and permeability became smaller, the character of the reservoir becomes bad in the flood plain area that lies on the skirted riverway and between riverways. Characters of the layer relate to the distribution of main sand-body that the better feature of the layer and the bigger thick of sandbody layer. At last, Yan-9 and Yan-10 reservoir of the aimed layer in the studied area are divided into three optimal oil-gas accumulation area that is Ⅰ species optimal area, Ⅱspecies optimal area and Ⅱ species optimal area.Ⅰ species optimal area have Five areas.Ⅱspecies optimal area have three areas. And the rest is Ⅱ species optimal area. Oil area forecasted in the fiveⅠ species optimal area is 21.7km2. Elementary forecasted Possible reserves is 1080×104t

Key Words

Geographical Information System(GIS); hydrocarbon reservoir evaluation; spatial analysis; Spatial Data Mining (SDM); expression of decision-making knowledge

 

Research on Terrain Data Acquisition & Digital Terrain Analysis in Digital Terrain Modeling
Copyright: Wuhan University Virtual Reality Laboratory at LIESMARS
Address: State Key Lab of Information Engineering in Surveying Mapping and Remote Sensing
P.O. Box C310, 129 LuoYu Road, Wuhan Hubei, 430079, P.R.China Tel/Fax: +86-27-68778322,+86-27-68778969