Academic literature on the topic 'INVERSION-COMPRESSION METHOD'
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Journal articles on the topic "INVERSION-COMPRESSION METHOD"
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Li, Shouju, De Li, Lijuan Cao, and Zichang Shangguan. "Parameter estimation approach for particle flow model of rockfill materials using response surface method." International Journal of Computational Materials Science and Engineering 04, no. 01 (March 2015): 1550003. http://dx.doi.org/10.1142/s2047684115500037.
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Particle flow code (PFC) is widely used to model deformation and stress states of rockfill materials. The accuracy of numerical modeling with PFC is dependent upon the model parameter values. How to accurately determine model parameters remains one of the main challenges. In order to determine model parameters of particle flow model of rockfill materials, some triaxial compression experiments are performed, and the inversion procedure of model parameters based on response surface method is proposed. Parameters of particle flow model of rockfill materials are determined according to the observed data in triaxial compression tests for rockfill materials. The investigation shows that the normal stiffness, tangent stiffness and friction coefficient of rockfill materials will slightly increase with increase of confining pressure in triaxial compression tests. The experiments in laboratory show that the proposed inversion procedure behaves higher computing efficiency and the forecasted stress–strain relations agree well with observed values.
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Chen, Dai Heng, and Lu Yang. "Inversion Behavior for Cylindrical Tubes under Axial Compression." Advanced Materials Research 430-432 (January 2012): 512–16. http://dx.doi.org/10.4028/www.scientific.net/amr.430-432.512.
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This paper presents an analysis of tube inversion under axial compression by a finite element method with the aim of expressing and calculating the axial stress from the stress equilibrium equation. The state of a cylinder under internal stress and the inversion transformation mechanism are then clarified, and verification of the proposed theoretical model is examined.
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Habashy, T. M., A. Abubakar, G. Pan, and A. Belani. "Source-receiver compression scheme for full-waveform seismic inversion." GEOPHYSICS 76, no. 4 (July 2011): R95—R108. http://dx.doi.org/10.1190/1.3590213.
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We have developed a source-receiver compression approach for reducing the computational time and memory usage of the acoustic and elastic full-waveform inversions. By detecting and quantifying the extent of redundancy in the data, we assembled a reduced set of simultaneous sources and receivers that are weighted sums of the physical sources and receivers used in the survey. Because the numbers of these simultaneous sources and receivers could be significantly less than those of the physical sources and receivers, the computational time and memory usage of any gradient-type inversion method such as steepest descent, nonlinear conjugate gradient, contrast-source inversion, and quasi-Newton methods could be reduced. The scheme is based on decomposing the data into their principal components using a singular-value decomposition approach, and the data reduction is done through the elimination of the small eigenvalues. Consequently, this would suppress the effect of noise in the data. Moreover, taking advantage of the redundancy in the data, this compression scheme effectively stacks the redundant data, resulting in an increased signal-to-noise ratio. For demonstration of the concept, we produced inversion results for the 2D acoustic Marmousi and BP models for surface measurements and an elastic model for crosswell measurements. We found that this approach has the potential to significantly reduce computational time and memory usage of the Gauss-Newton method by 1–2 orders of magnitude.
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Foks, Nathan Leon, Richard Krahenbuhl, and Yaoguo Li. "Adaptive sampling of potential-field data: A direct approach to compressive inversion." GEOPHYSICS 79, no. 1 (January 1, 2014): IM1—IM9. http://dx.doi.org/10.1190/geo2013-0087.1.
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Compressive inversion uses computational algorithms that decrease the time and storage needs of a traditional inverse problem. Most compression approaches focus on the model domain, and very few, other than traditional downsampling focus on the data domain for potential-field applications. To further the compression in the data domain, a direct and practical approach to the adaptive downsampling of potential-field data for large inversion problems has been developed. The approach is formulated to significantly reduce the quantity of data in relatively smooth or quiet regions of the data set, while preserving the signal anomalies that contain the relevant target information. Two major benefits arise from this form of compressive inversion. First, because the approach compresses the problem in the data domain, it can be applied immediately without the addition of, or modification to, existing inversion software. Second, as most industry software use some form of model or sensitivity compression, the addition of this adaptive data sampling creates a complete compressive inversion methodology whereby the reduction of computational cost is achieved simultaneously in the model and data domains. We applied the method to a synthetic magnetic data set and two large field magnetic data sets; however, the method is also applicable to other data types. Our results showed that the relevant model information is maintained after inversion despite using 1%–5% of the data.
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Portniaguine, Oleg, and Michael S. Zhdanov. "3‐D magnetic inversion with data compression and image focusing." GEOPHYSICS 67, no. 5 (September 2002): 1532–41. http://dx.doi.org/10.1190/1.1512749.
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We develop a method of 3‐D magnetic anomaly inversion based on traditional Tikhonov regularization theory. We use a minimum support stabilizing functional to generate a sharp, focused inverse image. An iterative inversion process is constructed in the space of weighted model parameters that accelerates the convergence and robustness of the method. The weighting functions are selected based on sensitivity analysis. To speed up the computations and to decrease the size of memory required, we use a compression technique based on cubic interpolation. Our method is designed for inversion of total magnetic anomalies, assuming the anomalous field is caused by induced magnetization only. The method is applied to synthetic data for typical models of magnetic anomalies and is tested on real airborne data provided by ExxonMobil Upstream Research Company.
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Pan, Shiyang, Tongchun Li, Guicai Shi, Zhen Cui, Hanjing Zhang, and Li Yuan. "The Inversion Analysis and Material Parameter Optimization of a High Earth-Rockfill Dam during Construction Periods." Applied Sciences 12, no. 10 (May 15, 2022): 4991. http://dx.doi.org/10.3390/app12104991.
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Inversion analysis is usually an efficient solution to process the monitoring data of earth-rockfill dams. However, it is still difficult to obtain calculation results that are consistent with monitoring data due to different construction statuses. To deal with this situation and to introduce a new solution to improve calculation accuracy, the general method of inversion analysis based on back-propagation neural networks and the original step-by-step inversion method assuming that the parameters of the constitutive model vary with construction periods are introduced and verified in this work. Then, both methods are applied in the inversion analysis of a high gravelly soil core rock-fill dam during construction periods. Moreover, the relationship between the inversed material parameters and the stress values of the core wall is discussed. The material parameters are further optimized to obtain more accurate displacement values. The results show that the step-by-step inversion method has a higher accuracy in vertical compression values compared with the conventional inversion method, the trend of material parameter K is more significant than other parameters, and the proposed variable parameter constitutive model has an accuracy between the step-by-step and conventional inversion methods. Conclusions can be drawn that the original step-by-step inversion method has more advantages than the conventional method and the variable parameter constitutive model proposed in this paper might be more suitable for the analysis of a high earth-rockfill dam during construction periods.
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Lin, Cherng-Yuan, and Keng-Hung Lin. "Comparison of the Engine Performance of Soybean Oil Biodiesel Emulsions Prepared by Phase Inversion Temperature and Mechanical Homogenization Methods." Processes 11, no. 3 (March 16, 2023): 907. http://dx.doi.org/10.3390/pr11030907.
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The engine performance and emission characteristics of burning emulsions of soybean oil biodiesel in a compression-ignition diesel engine prepared through the phase inversion temperature method were compared with those of neat soybean oil biodiesel and the emulsion prepared by the mechanical homogenization method. The engine torque was set constantly at 98 N·m with varying engine speeds. The experimental results show that the emulsion prepared by the method of phase inversion temperature had higher O2 and NOx emissions, a higher excess air ratio, a higher exhaust gas temperature, and a higher brake fuel conversion efficiency than the emulsion prepared by the mechanical homogenization method, which had lower CO and CO2 emissions, a lower equivalence ratio, and lower brake-specific fuel consumption. While the neat soybean oil biodiesel was found to have the lowest fuel consumption rate, brake-specific fuel consumption, and CO and CO2 emissions, it had the highest exhaust gas temperature and brake fuel conversion efficiency, NOx and O2 emissions, and excess air ratio among those three fuels. Therefore, the phase inversion temperature method is considered promising for preparing fuel emulsions as an alternative to petro-derived diesel for compression-ignition engines.
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Jiang, Dandan, Zhaofa Zeng, Shuai Zhou, Yanwu Guan, Tao Lin, and Pengyu Lu. "Three-Dimensional Magnetic Inversion Based on an Adaptive Quadtree Data Compression." Applied Sciences 10, no. 21 (October 29, 2020): 7636. http://dx.doi.org/10.3390/app10217636.
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Three-dimensional magnetic inversion allows the distribution of magnetic parameters to be obtained, and it is an important tool for geological exploration and interpretation. However, because of the redundancy of the data obtained from large-scale investigations or high-density sampling, it is very computationally intensive to use these data for iterative inversion calculations. In this paper, we propose a method for compressing magnetic data by using an adaptive quadtree decomposition method, which divides the two-dimensional data region into four quadrants and progressively subdivides them by recursion until the data in each quadrant meets the regional consistency criterion. The method allows for dense sampling at the abnormal boundaries with large amplitude changes and sparse sampling at regions with small amplitude changes, and achieves the best approximation to the original data with the least amount of data, thus retaining more anomalous information while achieving the purpose of data compression. In addition, assigning values to the data in the quadrants using the averaging method is essentially equivalent to average filtering, which reduces the noise of the magnetic data. Testing the synthetic model and applying the method to mineral exploration a prove that it can effectively compress the magnetic data and greatly improve the computational efficiency.
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Liu, Weiqiang, and Liangyong Yang. "A New Method for Geophysical Induced Polarization Inversion Based on Stochastic Medium Model and Sample-Compressed Artificial Neural Network." Journal of Physics: Conference Series 2025, no. 1 (September 1, 2021): 012010. http://dx.doi.org/10.1088/1742-6596/2025/1/012010.
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Abstract Induced polarization (IP) is a near-surface geophysical exploration method. Inverting the electrical properties of the underground medium from surface apparent IP parameters is a highly nonlinear problem. To further improve the accuracy, the artificial neural network (ANN) algorithm is applied to the two-dimensional (2D) IP data inversion for the first time. We firstly produced smooth geo-electric models based on the stochastic medium theory, and obtained the corresponding theoretical responses through forward modelling. Then, we compressed the responses and models through image compression technology. Finally, the above compressed responses and models were used as input and output samples to train an optimal network system for inversion. We tested the algorithm with synthetic examples. The results show that ANN can improve the longitudinal resolution of the inversion results and make the inversion results more focused.
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Abubakar, A., T. M. Habashy, Y. Lin, and M. Li. "A model-compression scheme for nonlinear electromagnetic inversions." GEOPHYSICS 77, no. 5 (September 1, 2012): E379—E389. http://dx.doi.org/10.1190/geo2011-0494.1.
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We have developed a model-compression scheme for improving the efficiency of the regularized Gauss-Newton inversion algorithm for marine controlled-source electromagnetic applications. In this scheme, the unknown model parameters (the conductivity/resistivity distribution) are represented in terms of a basis such as Fourier and wavelet (Haar and Daubechies). By applying a truncation criterion, the model may then be approximated by a reduced number of basis functions, which is usually much less than the number of the model parameters. Further, because the controlled-source electromagnetic measurements have low resolution, it is sufficient for inversion to only keep the low-spatial-frequency part of the image. This model-compression scheme accelerates the computational time and also reduces the memory usage of the Gauss-Newton method. We are able to significantly reduce the algorithm computational complexity without compromising the quality of the inverted models.
Dissertations / Theses on the topic "INVERSION-COMPRESSION METHOD"
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Štys, Jiří. "Implementace statistických kompresních metod." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-413295.
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This thesis describes Burrow-Wheeler compression algorithm. It focuses on each part of Burrow-Wheeler algorithm, most of all on and entropic coders. In section are described methods like move to front, inverse frequences, interval coding, etc. Among the described entropy coders are Huffman, arithmetic and Rice-Golomg coders. In conclusion there is testing of described methods of global structure transformation and entropic coders. Best combinations are compared with the most common compress algorithm.
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Yang, Shao-Sheng, and 楊紹聖. "A Low-Power Phase Compression Design Methodology on TFT-LCD Column Driver for Dot-Inversion Method." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/98287586651115018406.
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博士國立清華大學
電機工程學系
93
A novel multi-phase charge-sharing technique is proposed for the dot inversion method to reduce AC power consumption of the TFT-LCD column driver without requiring any external capacitor for charge conservation. The Searching Algorithm discovers near-optimal configurations. After the exhaustive search, Phase Compression is also applied to reduce the time of charge conservation. For realistic consideration, the switching distance is limited to reduce the complexity of Searching Algorithm and decrease switch routing between column lines. Simple and easy-to-control circuitry is applied in the proposed method, and the power saving efficiency depends on number of charge phases. Increasing the number of charge phases, the saving power efficiency is also raised. Excluding power dissipation of switches, the power saving efficiency is up to 75% theoretically with infinite phases. For previous work, the maximum power saving efficient is 50% without external capacitor. The HSPICE simulation results including power dissipation of all switches show that the proposed method with seven charge phases (eight-column lines as one group) decreases the power consumption of 23%-68% and 10%-18%, respectively, compared with original circuit (without any low-power scheme) and previous low-power charge-recycling works.
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RANI, VIJETA. "PSEUDORANDOM BINARY SEQUENCE GENERATION FOR STREAM CIPHERS." Thesis, 2012. http://dspace.dtu.ac.in:8080/jspui/handle/repository/13961.
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M.TECHPseudorandom binary sequences find their application in diverse fields but security and cryptography is probably the best known field of their application. One-Time Pad (OTP) is a simple, fast and the most secure encryption algorithm. It provides the perfect secrecy. The encryptiondecryption process of the OTP is based on exclusive-or function computed on the plaintext/ciphertext and the key bits. The requirements for the OTP key are that: it must be a cryptographically strong truly random or pseudorandom binary sequence; must be as long as plaintext size; and must not be reused. The difference between a truly random and a pseudorandom sequence is that the truly random sequence is generated with the help of nondeterministic physical phenomenon but the pseudorandom sequence is generated from some deterministic mechanism and a seed value. In case of pseudorandom binary sequences, given the same seed the pseudorandom number generator will always output the same sequence of numbers or bits. The fundamental difficulty with a truly random sequence is its generation and distribution. Therefore pseudorandom sequences are a popular choice for the practical implementation of the OTP scheme. Many researchers have devoted their time and effort to the family of shift register based pseudorandom sequence generators. But they could not gain a key sequence having very large period equal to the plaintext length. They also tried the complex versions of shift registers but it is yet not very useful and secure
Book chapters on the topic "INVERSION-COMPRESSION METHOD"
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"Fundamentals of Borehole NMR Data Processing and Inversion." In Practical NMR for Oil and Gas Exploration, 245–312. Royal Society of Chemistry, 2023. http://dx.doi.org/10.1039/9781782622253-00245.
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Borehole NMR tools usually acquire basic Carr–Purcell–Meiboom–Gill (CPMG) echo trains consisting of several hundred to a few thousand echoes. Echo train data should be converted to a 1D distribution (T1 and T2), 2D distribution (D–T2 and T1–T2) or 3D distribution (T1–D–T2) through Inverse Laplace Transformation (ILT) to further obtain petrophysical parameters and identify the fluid properties of the reservoir. Meanwhile, data compression is normally employed in multidimensional (2D and 3D) NMR inversion procedures to avoid huge memory usage and slow computational speeds. Furthermore, highly resolved solutions of inverted echo data related to signal-to-noise ratios can be significantly improved using proper inversion methods and denoising techniques. A better understanding of the data processing and corresponding inversion methods will be very helpful for the data interpretation and application.
Conference papers on the topic "INVERSION-COMPRESSION METHOD"
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Lin, Yun, Maokun Li, Aria Abubakar, and Tarek M. Habashy. "A wavelet-based model compression method for three-dimensional electromagnetic data inversion." In SEG Technical Program Expanded Abstracts 2013. Society of Exploration Geophysicists, 2013. http://dx.doi.org/10.1190/segam2013-0395.1.
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Hui Zhou and Qingqing Li. "Increasing the efficiency of inversion method by using data compression technique during reconstruction." In 2012 14th International Conference on Ground Penetrating Radar (GPR). IEEE, 2012. http://dx.doi.org/10.1109/icgpr.2012.6254871.
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Riandini, P. "Structural Evolution Using Seismic Low Frequency Magnitude Approach: A Case Study on Defining Strike-Slip Development in West Natuna Basin, Indonesia." In Digital Technical Conference. Indonesian Petroleum Association, 2020. http://dx.doi.org/10.29118/ipa20-g-290.
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West Natuna Basin (WNB) is located in the centre of Sunda Shelf in South China Sea; bordered by the Sunda Shelf's basement to the south, the Natuna Arch to the east, and the Khorat Swell to the north. Tectonic evolution of the WNB has imparted a complex structural history of extension, compression and wrenching related to Cenozoic regional tectonic events, for which the structural evolution reflects a history of Late Eocene-Early Oligocene rifting and Middle-Late Miocene inversion. The regional strike-slip movement that associates to the Three Pagodas Fault System has long been recognised at WNB. However, the understanding of this strike-slip behaviour has not previously been investigated despite its important role in reservoir mapping. This study aims to demonstrate how new approaches of seismic attributes analysis combined with structural evolution through palinspastic reconstruction will define the structural geometry as a key point for fault relationship in the production field. Structure map and cross section are generated by integrating wells data and 3D seismic to identify structural trends. Seismic low frequency magnitude has been generated as an attribute to define faults through Spectral Decomposition method. As the faults feature on the seismic are more related to low or even absent of energy, these attributes provide robust attributes to identify four morphology in study area that represent different structural geometry and history. Seismic interpretation shows the structure commences in the early part of the Late Eocene that developed as NE-SW rifting. The rifting is initiated due to creation of pull-apart basins, as part of the WNW-ESE sinistral strike-slip fault development. The major sinistral strike-slip development was accommodated by collision of India that causes onset of rotation of Sundaland. In relation to the oblique NNE-SSW compression, Middle-Late Miocene inversion follows the post-rift deformation. This condition accommodates the development of NW-SE right lateral strike-slip on the marginal fault and result in N-S trending horsetail structure development that plays a role as an essential structure for reservoir trap.This research verifies that the combination between recent re-evaluations of the 3D seismic and its attributes can identify more detailed fault positions to generate better definitions of fault patterns. Therefore, palinspastic restoration becomes one of the classic approaches that brings further comprehension of the fault pattern’s structural evolutions, which leads to the site-development and production’s improvements.
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Wei, Cao, Shiqing Cheng, Bin Jiang, Ruilian Gao, Yang Wang, Jiayi Song, and Haiyang Yu. "Numerical Study on the Temperature Behavior in Naturally Fractured Geothermal Reservoirs and Analysis Methodology for Geothermal Reservoir Characterization and Development." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205862-ms.
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Abstract An important way to develop geothermal energy is by producing low-medium temperature fluids from naturally fractured geothermal reservoirs. Pressure analysis is the most used to characterize such reservoirs for improving development efficiency. However, pressure inversion easily leads to non-uniqueness and cannot estimate thermal properties. Additionally, no reliable methods are proposed to evaluate the development potential of geothermal reservoirs. To narrow the gap, this study aims at studying the temperature behaviors and exploring suitable analysis method for characterizing geothermal reservoir and evaluating development potential. The numerical and analytical models are simultaneously established to analyze the temperature behaviors. Our models account for the J-T effect (μJT), adiabatic heat expansion/compression effect (η), reservoir damage, viscous dissipation, heat conduction and convection effects. The solution's development is dependent on the fact that the effects of reservoir temperature changes on transient pressure can be ignored so that the pressure and energy equations can be decoupled. We firstly compute reservoir pressure field based on Kazemi model, then use this obtained pressure field to solve the energy-balance equations. The numerical solution is verified and is found to be in good agreement with the proposed analytical solutions. This work shows that the most used constant μJT and η assumption will produce inaccurate temperature results when reservoir temperature changes significantly. Moreover, we find that temperature behaviors can exhibit three heat radial flow regimes (HRFR) and a heat inter-porosity regime with V-shape characteristic. Fracture thermal storativity ratio and matrix heat inter-porosity coefficient defined in this study can be estimated from this characteristic, which are further used to evaluate geothermal development potential. Our work also shows that temperature data can give information that would not be provided by conventional pressure analysis. The temperature derivative curve will show ‘hump’ characteristic if reservoir is damaged. The temperature data can characterize the skin-zone radius and permeability. More than that, the properties such as J-T coefficient, effective adiabatic heat expansion coefficient and porosity can be estimated. Eventually, an integrated workflow of using both temperature and pressure data analysis is presented to characterize naturally fractured geothermal reservoir for the first time. Simulated test examples were interpreted to demonstrate its applicability.
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Ismail, Hasnol Hady, Chean Lin Lew, Sanatul Salwa Hasan, Muhd Rapi Mohamad Som, Mohd Fauzi Abdul Kadir, and Mohamad Raisuddin Ahmad Tajuddin. "The TB 3.1 To TB 3.7 Sequence Stratigraphy and Structural Developments of the West Baram Delta Basin, Offshore Sarawak, East Malaysia." In International Petroleum Technology Conference. IPTC, 2023. http://dx.doi.org/10.2523/iptc-22825-ea.
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Abstract The West Baram Delta (WBD) basin is a structurally complex region with an abundance of hydrocarbon that has been produced and yet to be discovered. Within the basin, there is a drastic increase of sedimentary thickness occurred across the growth fault, contributed to major challenges for the sequence stratihgraphic framework correlation to be established throughout the basin. Understanding the growth fault development in terms of age-based within the region is critical for better accuracy in reservoir correlation, reservoir distribution and structural trap analyses. 3D seismic mega-merge of the West Baram Delta was used to interpret the third order Tejas B (TB) stratigraphic sequences. From the structure maps of the maximum flooding surfaces (MFS) and sequence boundary (SB), thickness maps were generated for the system tracts of the corresponding sequence, mainly the highstand and transgressive system tracts. Then, structural restoration using a method of layer back stripping and fault blocks shifting were conducted to study the depositional and structural evolution of the basin. The Late Miocene to Late Pliocene sequence and structural developments of the basin were mainly controlled by growth faulting activities are divided into seven stages: 1) WBD TB3.1 (~10.6Ma-~8.5Ma), 2) WBD TB3.2 (~8.5Ma-~6.7Ma), 3) WBD TB3.3 (~6.7Ma–~5.6Ma), 4) WBD TB3.4 (~ 5.6Ma-~4.2Ma), 5) WBD TB3.5 (~ 4.2Ma-~3.8Ma) 6) WBD TB3.6 (~3.8Ma-~3.0Ma) and 7) WBD TB3.7 (~3.0Ma-~1.9Ma) sequences. The high sediment supply rate is believed to provide conducive mechanisms for the gravity-induced syn-depositional growth faults to be initiated, which observed from WBD TB3.1 until WBD TB3.4. The growth faults in the basin were developed stage by stage from the south (landward) to the north (basinward) driven by the progradation of shoreface and delta sedimentation. The Northwest-Southeast wrench-induced compression which happened in Pliocene to Quaternary has caused basin inversion in the basin, where the trending of the fold axes is in the Northeast-Southwest orientation. The wrench-induced compression deformation was prominent at the proximal part of the basin, where its deformation extends distally down to the Baram field. The deformation developed the anticlinal features and faulting within this region. The intensity of the wrench-induced deformation decreases basinward, which is the reason why beyond the Baronia field, the deformation is less prominent. The distal part of the basin is mainly controlled by the gravity-induced syn-depositional growth faults tectonic style since the wrenching is not prominent. The seven third-order depositional sequences established as WBD TB3.1 to WBD TB3.7 sequences with a complex growth-faulted structure development in the West Baram Delta give a new insight of understanding the depositional and structural evolution through time which may lead to a better stratigraphic correlation and hydrocarbon trap analyses at the field scale.