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Trachyte reservoir characteristics and favorable reservoir identification and prediction in the J34 block, Eastern Sag

100%

Ma C. , Wu Y. , Gu T. , Zhang B. , Li Y. G. , Zhang Y. J. , Dong W. B. , Cui J.

Acta Geophysica

2022

tom Vol. 70, no 4

1635--1650

Influenced by tectonic activities such as the Tan-Lu Fault and mantle uplift, frequent volcanic activity in the Eastern Sag of the Liaohe Basin has resulted in the widespread development of volcanic rocks, such as basalt and trachyte, in the third member of the Shahejie Formation. Exploration and development have confirmed the presence of large oil and gas displays in trachyte reservoirs. However, previous studies have focused on the whole Eastern Sag or the volcanic rocks in the north, middle, and south sections of the Eastern Sag, while the J34 block has rarely been examined. There are challenges associated with the exploration and development of the J34 block, such as difficulties with trachyte lithology identification, reservoir space identification, quantitative logging identification, and prediction of horizontal and vertical distribution of lithologic characteristics. Therefore, this study presents an investigation and analysis of the characteristics of trachyte reservoirs, and the identification and prediction of favorable reservoirs based on core data, core sampling analysis, well logging, seismic data, and development dynamic data. The results showed that the volcanic rocks in the study area mainly include three types of lithology: trachytic breccia, trachytic lava, and basaltic lava, with trachytic breccia being the most important and favorable reservoir lithology. The trachyte reservoir space is mainly fractured and vuggy, and the secondary reservoir space is often superimposed onto the primary reservoir space, which significantly increases reservoir performance. Using the logging response characteristics of different lithologies and optimizing sensitivity curves, the quantitative identification criteria of different types of volcanic rocks were established. At the same time, the distribution characteristics of favorable reservoirs were determined by reconstructed wave impedance inversion with sensitive parameters, which showed that favorable reservoirs are mainly distributed along faults. Further analysis of the controlling factors of trachyte reservoirs can effectively guide the oil and gas development in this block and provide a reference for the exploration and development of similar blocks.

A study and application of high-resolution methods for reef reservoir identification

67%

Yan L. , Cheng B. , Xu T. , Wei S. , Qian Z.

Acta Geophysica

2017

tom Vol. 65, no. 5

907--917

Reefs represent a special type of carbonate trap that plays a key role in the migration, accumulation, and formation of a reservoir. They have commonly been the targets of exploration and development. However, reefs have complex interior structures and easily grow as thin, interbedded geological frames with reef microfacies that include the cap, core, and base of the reef. Because of the inherent drawbacks of seismic signals, including their low frequencies and narrow bandwidths, it is difficult to accurately identify reef reservoirs. Fortunately, the seismic frequency, phase, energy, waveform and other dynamic and geometrical properties can be used to compensate for the energy, expand the frequency bandwidth, and decompose and reconstruct the wavelet to obtain high-resolution seismic data. These data can highlight certain seismic responses of reefs, including boundary reflections, dome-shaped reflections from the reef outline, strong reflections from the reef cap, reflections from the reef bottom, and onlap reflections from the reef flanks. Some impedance response regularities, such as the lower impedance of the reef cap relative to the reef core and biodetritus beach and the fluctuating impedance of the reef-flat complex, are observed by combining log data with geological and high-resolution seismic data for a reef reservoir inversion. These methods were applied to the Changxing Formation in the Yuanba Gas Field. Good prediction results were obtained with a high consistency between the log and seismic data in a comparative analysis with the original seismic data and well logs.