Geophysical Inversion of 3D Seismic Data in Panax's Limestone Coast Geothermal Project to Determine Reservoir Porosity
نویسندگان
چکیده
Panax Geothermal Limited is developing a geothermal resource in South Australia, the Limestone Coast Project, which is a conventional “hot aquifer” reservoir in a deep sedimentary basin. The initial development is the Pretty Hill Formation sandstones in the Penola Trough of the Otway Basin. The area is an exploited gas basin with modern 3D seismic and excellent existing petroleum well data coverage. Wireline logging in the petroleum wells has already identified a low to moderate temperature geothermal resource, and reservoir quality is wellunderstood based on numerous well cores and wireline log data. This resource is currently at the development stage, the first known such resource in Australia. Salamander-1, the first production well on the project, is scheduled to be drilled in Panax’s Geothermal Exploration License 223 (GEL223), in the second half of 2009. The Limestone Coast Geothermal Project is designed to deliver the first proof that conventional geothermal resources within Australia’s sedimentary basins can be used to generate large amounts of competitively priced, zeroemission, base-load power. Innovation is required to optimize productivity. Panax worked with Schlumberger to derive data on the Pretty Hill Formation reservoir properties. This study aimed to generate a “porosity cube” based on the 3D seismic and nearby well data, to assist in planning the Salamander-1 location and predict the likely well productivity. The method used is genetic inversion of the 3D seismic (a patented Schlumberger product integrated within the Petrel 2009.1 seismic to simulation software). It produces a nonlinear multitrace operator that is applied to the seismic cube, and converts it into the property described by the logs used during the training phase. Wireline log sonic-derived porosities from six petroleum wells were used to train the data and invert the seismic cube to the porosity volume. The modeling indicated that relatively attractive reservoir qualities comparable to those measured in nearby gas wells could be expected at the proposed Salamander 1 location. This paper summarizes the results of this study together with the status of the geothermal development.
منابع مشابه
Application of 3D-Seismic Data in Detecting Buried Karsts in Asmari Formation: An Example from Kupal Oil Field, Southwest Iran
Detecting karstification processes in hydrocarbon carbonate reservoirs is important because of their porosity, permeability and also the risk associated with their drilling. A very useful technique to locate buried karsts is 3D seismic. In this research, seismic frequency decomposition (spectral decomposition) and seismic inversion techniques used to identify these sub-surface diagenetic featur...
متن کامل3D and 4D Seismic Data Integration in Static and Dynamic Reservoir Modeling: A Review
Reservoir modeling is the process of generating numerical representations of reservoir conditions and properties on the basis of geological, geophysical, and engineering data measured on the Earth’s surface or in depth at a limited number of borehole locations. Therefore, reservoir modeling requires an incorporation of the data from a variety of sources, along with an integration of knowledge a...
متن کاملاستفاده از شبکه عصبی مصنوعی در برآورد حجم در جای هیدروکربن
Accurate estimation of hydrocarbon volume in a reservoir is important due to future development and investment on that reservoir. Estimation of Oil and Gas reservoirs continues from exploration to end of reservoir time life and is usual upstream engineer’s involvements. In this study we tried to make reservoir properties models (porosity and water saturation) and estimate reservoir volume hydro...
متن کاملArtificial Intelligence for prediction of porosity from Seismic Attributes: Case study in the Persian Gulf
Porosity is one of the key parameters associated with oil reservoirs. Determination of this petrophysical parameter is an essential step in reservoir characterization. Among different linear and nonlinear prediction tools such as multi-regression and polynomial curve fitting, artificial neural network has gained the attention of researchers over the past years. In the present study, two-dimensi...
متن کاملDelineating Hydrocarbon Bearing Zones Using Elastic Impedance Inversion: A Persian Gulf Example
Reservoir characterization plays an important role in different parts of an industrial project. The results from a reservoir characterization study give insight into rock and fluid properties which can optimize the choice of drilling locations and reduce risk and uncertainty. Delineating hydrocarbon bearing zones within a reservoir is the main objective of any seismic reservoir characterization...
متن کامل