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Basin Analysis

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Ian Lerche – 1st expert on this subject based on the ideXlab platform

  • A frontier Basin Analysis study based on limited data: the South Mozambique Graben
    Structural and Tectonic Modelling and its Application to Petroleum Geology, 2013
    Co-Authors: J.e. Iliffe, Ian Lerche, M. Debuyl

    Abstract:

    The South Mozambique Graben is assessed for hydrocarbon potential by reconstructing its structural, burial and thermal histories using a seismic line and an array of Basin modelling techniques.

    A depth converted cross-section is simultaneously restored palinspastically and backstripped at designated pseudowells for each chronostratigraphic package.

    The thermal history is predicted from extensional models which relate paleoheat flow to basement subsidence. Maturation potential cross-sections are derived by applying a generation model to each of the pseudowells, assuming each layer to be a potential source rock. The Basin is then analyzed by considering the timing of hydrocarbon generation relative to the deposition of potential source and seal rocks and the formation of trapping structures and migration pathways.

    When a range of uncertainty is allowed for in the development of these models, the exploration geologist can make a better judgement of the dynamic range of hydrocarbon potential of this frontier Basin. Also, this type of study determines the type of additional information required to reduce uncertainties significantly.

    In this paper we illustrate how mathematical modelling can enhance the understanding of the hydrocarbon potential of a Basin given only limited data. Formerly, one-dimensional burial history models (e.g., Guidish et al, 1984; Cao, 1985) have assumed that sediments must have been deposited, not deposited (hiatus) or eroded during each time phase; meanwhile, the structural development has been largely ignored.

    The primary goal is to demonstrate a Basin Analysis technique which unites the structural, depositional and thermal histories of an area. Such an integrated approach may greatly contribute to an exploration geologist’s understanding and assessment of the hydrocarbon potential of a speculative Basin.

    The method consists of simultaneously removing depositional layers and reconstructing structural cross-sections in sequential chronostratigraphic steps back in time.

    Before the technique was applied to real field data from the South Mozambique Graben, the problems of backstripping wells which penetrate faults were investigated by means of a series of tests on synthetic examples and this aspect is discussed first.

  • Risking Basin Analysis Results II. The Influence of Erosion Uncertainties
    Energy Exploration & Exploitation, 2003
    Co-Authors: Ian Lerche

    Abstract:

    This paper considers erosion variables and their uncertainties in terms of their influence on outputs of interest in Basin Analysis calculations. While one often knows with some considerable precision the initial deposition time and final end time of an erosion event, one does not know (as opposed to surmise) when erosion commenced during that time interval, nor does one know the amount of material that was deposited and later removed, nor does one know the lithologic properties of the eroded material. All three of these factors can be of importance in Basin development. Using a recently developed extremely fast Excel burial history program, in conjunction with the very fast Monte Carlo program Crystal Ball, one can now rapidly sort out various uncertain factors for their influence on burial history outputs.Two sets of examples illustrate how one can determine which parameters associated with an erosion event dominate in their impact on Basin Analysis uncertainties. The first example allows the amount of …

  • Risking Basin Analysis Results
    Energy Exploration & Exploitation, 2003
    Co-Authors: Ian Lerche, F. Rocha-legoretta

    Abstract:

    The work presented here uses a Basin Analysis code, developed for Excel, to handle burial history, fluid flow, fracturing, overpressure development with time, erosion events, kerogen breakdown to oil and gas, hydrocarbon volumetrics for both oil and gas including source retention, migration loss, and area changes with time of source rocks for each formation. The code is remarkably fast, requiring about 0.2 seconds on a laptop to perform all the above calculations for ten formations as well as producing pictorial representations of all variables with space and time. The code seamlessly interfaces with the Monte Carlo risking program Crystal Ball so that a total uncertainty Analysis can be done with as many uncertain inputs as required and as many outputs of interest as needed without increasing the computer time needed. A thousand Crystal Ball runs take only about 200 seconds, allowing ones to investigate many possible scenarios extremely quickly. We show here with four basic examples how one goes about identifying which parameters in the input (ranging from uncertain data, uncertain thermal history, uncertain permeability, uncertain fracture coefficients for rocks, uncertain geochemistry kinetics, uncertain kerogen amounts and types per formation, through to uncertain volumetric factors) are causing the greatest contributions to uncertainty in any and all outputs. The relative importance, relative contributions and relative sensitivity are examined to show when it is necessary to know more about the underlying distributions of uncertain parameters, when it is necessary to know more about the dynamic range of a parameter to narrow its contribution to the total uncertainty, and which parameters are necessary to first focus on to narrow their uncertainty in order to improve the dynamical, thermal or hydrocarbon outputs. An interface of such a coupled pair of very fast Excel codes with an Excel economics package can also now easily be undertaken so that one ties scientific uncertainty and economic uncertainty together for hydrocarbon exploration and identifies the global parameters dominantly influencing the combined economic/Basin Analysis system.

Paul Veeken – 2nd expert on this subject based on the ideXlab platform

  • Seismic Stratigraphy, Basin Analysis and Reservoir Characterisation
    Handbook of Geophysical Exploration: Seismic Exploration, 2007
    Co-Authors: Paul Veeken

    Abstract:

    This chapter introduces stratigraphy. Conventional stratigraphy deals with data obtained from studies of outcrops, rock samples and petrophysical measurements from boreholes. It allows determination of lithofacies, environment of deposition and assignment of ages to these discrete observation points. The reflection seismic method creates a geophysically sampled picture of the subsurface, which has to be interpreted in a geologically meaningful manner. Seismic information is unique and it is fundamental for assessing the amount of geological change between well calibration points. Moreover, the reflection seismic method represents a convenient remote sensing technique, whereby the object under investigation is examined without being destroyed. The scope of seismic stratigraphic studies is ranging from large-scale Basin Analysis to detailed reservoir mapping, with as ultimate goal the “Lateral Prediction” of the reservoir porefill (reservoir characterization). The chapter discusses basic seismic stratigraphic principles, with the reflection termination mapping and proper well calibration. Various depositional environments and their models are described. Basin Analysis gives a means to reconstruct the Basin evolution. The dynamics of depositional systems and sea level changes are discussed. The chapter focuses on different elements of petroleum systems, hydrocarbon plays, ranking of prospects and some financial aspects of the petroleum business.

  • seismic stratigraphy Basin Analysis and reservoir characterisation
    , 2007
    Co-Authors: Paul Veeken

    Abstract:

    1. Introduction. 2. The seismic reflection method and its constraints. 3. Seismic stratigraphic techniques. 4. Dynamics of Basinwide Sedimentation Patterns and Sea level Changes. 5. Hydrocarbon habitat. 6. Seismic Reservoir characterisation. 7. Volumetrics and Prospect Evaluation. 8. Concluding remarks.

Sigit Sukmono – 3rd expert on this subject based on the ideXlab platform

  • Work-Flow for Selecting the Best Seismic Attributes for Effective Basin Analysis
    , 2020
    Co-Authors: Sigit Sukmono

    Abstract:

    In an effective Basin Analysis, one crucial step is how to delineate the geometry of source, reservoir and seal rocks and understand their physical properties in an efficient way. Since well and seismic data is normally limited, then the challenge is how to select the best, most applicable seismic attributes which suit the unique geological conditions of the studied Basin. The problem is that there are abundant seismic attributes available and not every attribute is applicable for all geological conditions. Thus the selection of the best applicable attributes is often a very time consuming effort with unclear final results. This paper discusses a workflow for intelligent and efficient selection of the best seismic exploration techniques for an effective Basin Analysis. The work-flow is developed based on the criteria of target characterization objectives (geometry delineation and/or physical properties description), the nature of the seismic data, the mathematical-physical basis of each attribute and their geological meaning. Cases studies from three major producing Basins in Indonesia: Central Sumatra, South Sumatra and Northwest Java Basins are discussed to show the efficient applicability of the work-flow. In the Central Sumatra Basin the challenge is to map fluvio-deltaic sand deposits which are undetectable using normal seismic. In the Northwest Java Basin, the objective is to map sand channels controlled by growth faults as well as carbonates where the porosity is controlled by sealevel changes. In the South Sumatra Basin, the primary focus is to map the net-pay and porosity of sands which onlap granitic basement and form a combination of structural and stratigraphic traps. The study concludes that to find the best attributes, understanding the relationship between the targeted reservoir properties and the nature of elastic properties is very important. Key-words: seismic attributes, Basin Analysis, field exploration *Institute of Technology Bandung INTRODUCTION Effective Basin Analysis is important for successful petroleum Basin exploration. The prime objective in Basin Analysis is generally to map the geometry of targeted layers and understand the physical properties in an efficient way. On the other hand, the common problem faced during exploration is that the availability of well and seismic data is limited. Therefore the challenge is how to select the best, most applicable seismic techniques which suit the objective and unique geological conditions of the studied Basin. Nowadays there are abundant seismic attributes available but not every attribute is applicable for all geological conditions. The selection of the best applicable attribute is often a very time consuming effort with unclear final results. This paper discusses a work-flow for intelligent and efficient selection of the best seismic exploration techniques for effective Basin Analysis. The workflow is developed based on the criteria of target characterization objectives (geometry delineation and/or physical properties description), the nature of the seismic data, the mathematical-physical basis of each attribute, and their geological meaning. Case studies from three major producing Basins in Indonesia: Central Sumatra, South Sumatra and Northwest Java Basins are discussed to show the efficient applicability of the work-flow.

  • PROCEEDINGS, INDONESIAN PETROLEUM ASSOCIATION Thirty-third Annual Convention & Exhibition, May 2009 WORK-FLOW FOR SELECTING THE BEST SEISMIC ATTRIBUTES FOR EFFECTIVE Basin Analysis
    , 2020
    Co-Authors: Sigit Sukmono

    Abstract:

    In an effective Basin Analysis, one crucial step is how to delineate the geometry of source, reservoir and seal rocks and understand their physical properties in an efficient way. Since well and seismic data is normally limited, then the challenge is how to select the best, most applicable seismic attributes which suit the unique geological conditions of the studied Basin. The problem is that there are abundant seismic attributes available and not every attribute is applicable for all geological conditions. Thus the selection of the best applicable attributes is often a very time consuming effort with unclear final results. This paper discusses a workflow for intelligent and efficient selection of the best seismic exploration techniques for an effective Basin Analysis. The work-flow is developed based on the criteria of target characterization objectives (geometry delineation and/or physical properties description), the nature of the seismic data, the mathematical-physical basis of each attribute and their geological meaning. Cases studies from three major producing Basins in Indonesia: Central Sumatra, South Sumatra and Northwest Java Basins are discussed to show the efficient applicability of the work-flow. In the Central Sumatra Basin the challenge is to map fluvio-deltaic sand deposits which are undetectable using normal seismic. In the Northwest Java Basin, the objective is to map sand channels controlled by growth faults as well as carbonates where the porosity is controlled by sealevel changes. In the South Sumatra Basin, the primary focus is to map the net-pay and porosity of sands which onlap granitic basement and form a combination of structural and stratigraphic traps. The study concludes that to find the best attributes, understanding the relationship between the targeted reservoir properties and the nature of elastic properties is very important.