Rekan-rekan, Bersama ini saya sampaikan agenda detil Program Kursus Seismic Reservoar 2003 yang diadakan oleh Unit Jasa Kepakaran (UJK) Fakultas Ilmu Kebumian dan Teknologi Mineral bekerja sama dengan Lab. Geofisika Reservoar-Dept. Teknik Geofisika, Institut Teknologi Bandung :
Judul Kursus : Integrated Reservoir Characterization Techniques Tanggal : 11-15 Agustus 2003 Tempat : Holiday Inn Hotel - Bandung Untuk informasi lebih lanjut dapat menghubungi saya di alamat dibawah ini. Semoga bermanfaat. Terima kasih & Salam, Sigit Sukmono Lab.of Reservoir Geophysics Dept. of Geophysical Engineering Institute of Technology Bandung Basic Science Center, 2nd Floor Jl. Ganesha 10 Bandung 40132 Ph/Fax.(+62) (0)22-2509167 Mobile (+62) (0)811220756 Email :[EMAIL PROTECTED]; [EMAIL PROTECTED]; [EMAIL PROTECTED] ==================================================== COURSE ON INTEGRATED RESERVOIR CHARACTERIZATION TECHNIQUES Date & Venue The Course will be held on 11-15 August 2003 at Holiday Inn Hotel - Bandung. About the Course Seismic reservoir characterization is defined as the process of describing various reservoir characteristics using seismic data. The knowledge on this subject is vital for geoscientists and engineers who organized in multidisciplinary teams (MDT) scheme. In this Course, the participants learn fundamental techniques in reservoir engineering, reservoir geology and the reservoir geophysics. Emphasis is given on the reservoir geophysics method and its relation with the reservoir engineering and reservoir geology practices (detail course agenda is given in the opposite page). The first day discusses the geology and geophysics aspects as applied in reservoir engineering practices. The second day is about the fundamentals on reservoir geology. The third to fifth days are devoted to various basic reservoir geophysics methods. The Course comprises of approximately 40% theory and 60% workshops, in which 90% of the problem-set packages are Indonesia cases. DETAIL COURSE AGENDA DAY-1 Geology & Geophysics as applied in Reservoir Engineering practices Reservoir Data Acquisition & Analysis: Reservoir Quantities, Data Identification, Selection of Sources, Type and Category, Hierarchy, Management and Analysis Concepts, Quality, Accuracy, and Consistency, Data Preparation, Data to Simplify Models. Preliminary Estimation of Reserve: Volumetric Method, Monte Carlo Simulation. Well Test Data Interpretation: Basic Analysis and Interpretation Methods, Geological and Geophysical Aspects Including Reservoir Boundaries, Reservoir Types, Interference. Performance Prediction-Conventional Techniques: Decline Curve Analysis, Material Balance Equation. Reservoir Description-Geostatistical Approach: Principles of Statistics, Conventional Estimation, Conditional Simulation. Reservoir Simulation: General Principles, Type of Models, Data Assessment and Checking, Initialization, Grid and Time Step Sizing, Reservoir Simulation Modeling, History Matching, Performance Prediction, Simulation of Special Process. Improved Oil Recovery Methods: Recovery Efficiency, Enhanced Oil Recovery Methods, Horizontal Wells. Examples of Integrated Reservoir Study. Instructor: Asep Kurnia Permadi PhD DAY-2 Fundamentals of Reservoir Geology Well-log introduction : lithology identification, overview of sequence stratigraphy. Hydrocarbon entrapment system : source, migration, reservoir, structure and stratigraphy. Sedimentology evaluation : well-log pattern & correlation, depositional environment, facies modeling, diagenesis. Reservoir properties : porosity, net-pay, permeability, capillary pressure, water saturation, flow-unit, pore geometry. Reservoir characterization : reservoir heterogeneity, reservoir distribution & continuity (mapping). Reservoir management : mature field. DAY-3 Reservoir description using amplitude, complex attributes and seismic Inversion Post stack amplitude and their uses : reflection amplitude, composite amplitude, amplitude ratio, RMS amplitude, etc. Complex attributes and their uses : reflection strength, instantaneous phase, instantaneous frequency, apparent polarity, etc. Seismic Inversion method : convolutional model & seismic wavelet processing, recursive, model-based and sparse-spike inversion, using AI to derive reservoir properties (porosity, lithology, sand/shale ratio, etc. Problem-sets : (1) Clastics and carbonate reservoir description using seismic inversion, (2) Development well delineation using AI, geological and engineering data, (3) Integrated complex attributes for : thin sand reservoir delineation, DHI and facies mapping, development well delineation, (6) Amplitude attributes for thin facies mapping in a compartmentalized reservoir. DAY-4 Gas/fluid detection using amplitude, complex and AVO Attributes AVO method : rock physics basis, Zoeppritz equation and approximation, AVO modeling, AVO classification, non-bright spot AVO anomaly, AVO gradient and intercept, AVO cross-plots, AVO attributes, factors affecting AVO analysis. Problem-sets : (1). Integrated complex attributes for stratigraphic and DHI analysis (3 cases), (2) Amplitude attributes for DHI and development well delineation- siliciclastic and carbonate case, (3) Estimating AVO anomaly type using well data, (4) Delineating gas sand class I and III using CDP gathers, (5) Delineating gas-sands using P-G crossplot and PxG display, (6) Delineating gas-sands class III using AVO, AI and complex attributes, (7) Gas/fluid detection using complex and AVO attributes (2 cases). DAY-5 Time-Lapse (4-D) Seismic for Reservoir Management and Recovery Monitoring Theory : the uses of time-lapse seismic monitoring, the time-change of reservoir properties and related seismic observable, rock physics basis in 4-D seismic analysis, repeatibility requirements of seismic data and processing for time-lapse seismic. Problem-sets : (1). Amplitude for mapping by-passed oils and monitoring reservoir production, (2) Time-attributes for monitoring steam-front movements, (3). Interpretation of the seismic changes as a function of pressure and temperature, (4). Time-attributes for mapping injected-steam thickness, (5). 4-D seismic for monitoring in-situ combustion propagation, (6). 4-D seismic monitoring for enhancing thermal recovery
