IRANIAN JOURNAL OF PETROLEUM GEOLOGY
Year:2013 | Volume:3 | Issue:6|Papers Count:6

Determination of In-situ stress domain in oilfields is so important for drilling, well completion and petroleum geomechanics. Simply, determination of magnitude and direction of In-situ stress around wellbore is the first step of geomechanical studies and wellbore stability particularly. Preliminarily, because of importance of casing collapse problem in the Marun oilfield, the magnitude of in-situ stress is determined. The magnitude of vertical stress (Sv) was in range of 85 to 90 MPa. The minimum horizontal stress (Shmin) determined by some analytical methods. For estimating of maximum horizontal stress (SHmax) domain we used Anderson’s faulting theory and stress polygon. So the magnitude of SHmax was so close to Sv and the faulting regime shows normal/strike slip. Within Gachsaran Formation in depth of collapses because of salty lithology and high pore pressure, magnitude of In-situ stress is so close and it can be assume hydrostatic stress state.

This study aims at geochemical investigation of the hydrocarbons contained within the Azadegan sandstone reservoir by using the GC and GC-MS techniques. The Azadegan reservoir contains paraffinic and paraffinic – naphthenic oils with an API of 30. The gas chromatograms reveal that the source rocks responsible for these oils contains mainly type II kerogen deposited in a reducing environment. According to these data the studied oils have a relatively high level of thermal maturity. Ratios of C35S/C34S, C29/C30, C31R/C30 Hopane and Pr/Ph, Ph/nC18 show that the studied oil derived from carbonate source rock; which is also evident form Pr/Ph Vs. DBT/Phen diagrams. Diagrams of (20R) C29/C27 vs.Pr/Ph as well as the ratios of C21+/C21-, Pr/P, TAR are consistent with abundance of algal organic matter. Presence of Tricyclic terpanes, higher ETR ratios and diagrams of d13C vs.Pr/P introduce a Jurassic aged source rock for the studied oils. Based on biomarker and isotopic data it could be concluded that oils within the Azadegan reservoir are mainly derived from carbonate source rocks of Mid-Upper Jurassic which are deposited in paralic/open marine environment with a predominance of algal organic matter.

Compressional and shear velocity are two fundamental parameters, which have many applications in petrophysical, geophysical, and geomechanical operations. These two parameters can be obtained using Dipole Sonic Imaging tool (DSI), but unfortunately this tool is run just in few wells of a field. Therefore it is important to predict compressional and shear velocity indirectly from the other conventional well logs that have good correlation with these parameters in wells without these logs. Classical methods to predict the mentioned parameters are utilizing correlations and regression analysis. However, the best tool is intelligent systems including Artificial Neural Network, Fuzzy Logic, Adaptive Neuro Fuzzy Inference System, and Multi resolution graph base clustering for performing such tasks. In this paper 1321 data points from Kangan and Dalan formations which have compressional and shear velocity are used. These data are divided into two groups: 995 and 326 data points were used for construction of intelligent systems and model testing, respectively. The results showed that despite differences in concept, all of the intelligent techniques were successful for estimation of compressional and shear velocities. The Multi resolution graph base clustering. The method had the best performance among the others due to precise clustering the data points. Using this method, the compressional and shear velocity were correlated with correlation factor of 0.9505 and 0.9407, respectively. The developed model does not incorporate depth or lithological data as a part of the inputs to the network. This means that utilized methodology is applicable to any field.

Proper characterization of fracture reservoir is crucial for their sound development plan. It is however very difficult to correctly obtain various fracture reservoir properties such as permeability due to high order of heterogeneity and anisotropy within these reservoirs. Classical dual porosity and/or dual permeability models consider a regular fracture network across the reservoir. To improve the concept, we develop a numerical method for tonsorial permeability calculation of blocks with random/disordered fracture distribution. We considered a 2D Cartesian fine grid in which the fractures were defined explicitly with their endpoints coordinates. Applying proper boundary conditions, single phase flow is then solved. Full tensor permeability is then obtained analytically from the calculated flow and pressure fields. The result of our method is compared well with that of the analytical models for simple fracture systems. In addition we reported the permeability tensor values of random fracture networks where no analytical solution is available.

In this paper, core samples from Upper carbonates (Miocene age) of the Asmari Formation in one of the SW Iranian oil fields were studied in macro and microscopic scale. Subsequently, results from core and thin section studies compared with core porosity and permeability and petrophysical wireline logs, especially resistivity logs. Due to texture variation (mudstone to grainstone) and diagenetic events (dolomitization, dissolution, calcite and anhydrite cementation), porosity type and percentage changed in wide range in this formation. This study showed that resistivity logs could be used as an effective tool to distinct effective and ineffective-bearing zones. High permeability intervals have relatively high deep resistivity and high separation between deep and shallow resistivity logs, whereas non-reservoir intervals have low resistivity and very low separation between deep and shallow resistivity. Based on this study, studied carbonate interval of the Asmari Formation was divided into 13 zones. Using separation of deep and shallow resistivity logs, flow zones could be correlated throughout the studied field.

This aims of this study is to characterize the Shale intervals of Burgan Formation from a borehole stability point of view. This paper describes the process and workflow for data-acquisition and interpretation in a shale formation characterization program and demonstrates not only the benefits of acquiring specific data, but also highlights the uses of the data to aid the exploration decision process. The next purpose of this paper is to provide a research process that can be applied in similar geological settings. In the study process, we collected a complete set of information and samples from the field and presented a detailed case study, including laboratorial studies of formation samples and interpretation of the information. Available samples and information sources from Burgan Formation include drillhole cores. The minerals were defined by direct and indirect methods. Bulk XRD analyses performed on core samples showed presence of traces of clay minerals. For determination of the exact clay mineral type, clay minerals were extracted and treated by heat and ethylene glycol saturation. Treated samples were subjected to XRD analyses. Interpretation of the natural gamma spectrometry logs allowed the determination of the type and content of clay minerals. In a next step, in order to study the distribution of minerals types, SEM photomicrographs and Cation exchange capacity (CEC) of the samples were carried out. The results revealed that shale intervals of Burgan Formation are not expandable clays. The instability problem cannot be completely solved by drilling fluid design. The study shows, different approached methods reached the same results.